Biochips are small devices made from materials like silicon and plastic that can analyze thousands of biological elements simultaneously. They contain arrays of biosensors and can perform many reactions quickly. Key applications of biochips include disease diagnosis, drug development, and analyzing gene expression. The document discusses the components of biochips like transponders and readers. It also describes different types of biochips such as DNA microarrays, protein microarrays, and microfluidic chips. Finally, potential medical uses of biochips are presented, including sensors for glucose levels, oxygen levels, and blood pressure.
Biochip technology allows thousands of biological tests to be performed simultaneously on a surface area smaller than a fingernail. A biochip contains miniaturized test sites arranged on a solid substrate that can analyze genes and other biomolecules quickly. It works by concentrating genetic tests on a small area so they can be analyzed by computer in a short time, making individual tests cheaper while allowing more tests to be conducted. A biochip is made up of a microchip containing identification information, an antenna coil, capacitor, and glass capsule that together allow it to transmit its ID to a scanner wirelessly.
This is a report describing what a biochip is.In molecular biology, biochips are essentially miniaturized laboratories that can perform hundreds or thousands of simultaneous biochemical reactions. Biochips enable researchers to quickly screen large numbers of biological analytes for a variety of purposes, from disease diagnosis to detection of bioterrorism agents.A biochip is a collection of miniaturized test sites (microarrays) arranged on a solid substrate that permits many tests to be performed at the same time in order to achieve higher throughput and speed. Typically, a biochip's surface area is no larger than a fingernail.
Protein microarrays, or protein chips, allow high-throughput analysis of protein interactions and functions. There are two main types - analytical protein microarrays mostly use antibody detection, while functional protein microarrays study protein interactions and activity. Proteins are immobilized on surfaces like glass slides and probed with labels to measure binding. Applications include disease diagnostics, proteomics, analyzing protein networks and complexes, and developing new treatments.
Sk microfluidics and lab on-a-chip-ch1stanislas547
This document provides an introduction to microfluidics and lab-on-a-chip technologies for biomedical applications. It discusses the basic principles of microsystems and microfabrication. Specifically, it describes how microsystems integrate electrical and other functions on the micrometer scale using microsensors and microactuators. The document also provides examples of biosensors and discusses the history and commercial applications of glucose biosensors. Finally, it suggests that the global market for biosensors and bioelectronics will continue growing significantly in the coming years as the technology develops.
Sk microfluidics and lab on-a-chip-ch3stanislas547
This document provides an overview of molecular biology concepts and analytical tools relevant to lab-on-a-chip applications in medical diagnostics. It describes the basic biological units of cells and DNA, as well as DNA analysis techniques like genome projects, DNA sequencing, and measuring gene expression using microarrays. Specific concepts covered include the central dogma of biology, DNA/RNA structure, genes and chromosomes, and how proteomics and single molecule DNA manipulation can be used for medical analysis.
Analytical testing service provides deep analysis of samples through biological, chemical and physical methods or high-tech instruments to accurately and rapidly detect trace contamination in products like microbes, viruses, adventitious cells and reagents. The document discusses services for detecting host cell proteins, residual DNA, next generation sequencing, and transmission electron microscopy to identify contamination which can be a major problem in manufacturing biological and clinical products.
The document discusses synthetic biology and its potential applications. It explains foundational concepts like DNA, mRNA and proteins. It describes how DNA parts can be standardized and assembled to program bacteria. Examples are given of applications like biochemical sensors, genetic oscillators, and biological computation. The document conveys that synthetic biology makes biotechnology more accessible and could impact areas like healthcare, energy and education. It promotes synthetic biology as an exciting field that enables problem-based learning.
Biochip technology allows thousands of biological tests to be performed simultaneously on a surface area smaller than a fingernail. A biochip contains miniaturized test sites arranged on a solid substrate that can analyze genes and other biomolecules quickly. It works by concentrating genetic tests on a small area so they can be analyzed by computer in a short time, making individual tests cheaper while allowing more tests to be conducted. A biochip is made up of a microchip containing identification information, an antenna coil, capacitor, and glass capsule that together allow it to transmit its ID to a scanner wirelessly.
This is a report describing what a biochip is.In molecular biology, biochips are essentially miniaturized laboratories that can perform hundreds or thousands of simultaneous biochemical reactions. Biochips enable researchers to quickly screen large numbers of biological analytes for a variety of purposes, from disease diagnosis to detection of bioterrorism agents.A biochip is a collection of miniaturized test sites (microarrays) arranged on a solid substrate that permits many tests to be performed at the same time in order to achieve higher throughput and speed. Typically, a biochip's surface area is no larger than a fingernail.
Protein microarrays, or protein chips, allow high-throughput analysis of protein interactions and functions. There are two main types - analytical protein microarrays mostly use antibody detection, while functional protein microarrays study protein interactions and activity. Proteins are immobilized on surfaces like glass slides and probed with labels to measure binding. Applications include disease diagnostics, proteomics, analyzing protein networks and complexes, and developing new treatments.
Sk microfluidics and lab on-a-chip-ch1stanislas547
This document provides an introduction to microfluidics and lab-on-a-chip technologies for biomedical applications. It discusses the basic principles of microsystems and microfabrication. Specifically, it describes how microsystems integrate electrical and other functions on the micrometer scale using microsensors and microactuators. The document also provides examples of biosensors and discusses the history and commercial applications of glucose biosensors. Finally, it suggests that the global market for biosensors and bioelectronics will continue growing significantly in the coming years as the technology develops.
Sk microfluidics and lab on-a-chip-ch3stanislas547
This document provides an overview of molecular biology concepts and analytical tools relevant to lab-on-a-chip applications in medical diagnostics. It describes the basic biological units of cells and DNA, as well as DNA analysis techniques like genome projects, DNA sequencing, and measuring gene expression using microarrays. Specific concepts covered include the central dogma of biology, DNA/RNA structure, genes and chromosomes, and how proteomics and single molecule DNA manipulation can be used for medical analysis.
Analytical testing service provides deep analysis of samples through biological, chemical and physical methods or high-tech instruments to accurately and rapidly detect trace contamination in products like microbes, viruses, adventitious cells and reagents. The document discusses services for detecting host cell proteins, residual DNA, next generation sequencing, and transmission electron microscopy to identify contamination which can be a major problem in manufacturing biological and clinical products.
The document discusses synthetic biology and its potential applications. It explains foundational concepts like DNA, mRNA and proteins. It describes how DNA parts can be standardized and assembled to program bacteria. Examples are given of applications like biochemical sensors, genetic oscillators, and biological computation. The document conveys that synthetic biology makes biotechnology more accessible and could impact areas like healthcare, energy and education. It promotes synthetic biology as an exciting field that enables problem-based learning.
After introducing intravital imaging in Webinar #1 and the IVM system and its capabilities in Webinar #2, we brought you real-world examples of IVM applications in collaboration with our reference sites. We presented specific examples of how to apply the IVM system to address various research questions during this webinar.
After viewing this on-demand webinar, attendees will have an understanding of how the IVM system can be applied in preclinical research to visualize and analyze in vivo dynamic processes at a cellular level.
Please register for the final part of this webinar series to see the IVM system in action as we give a live virtual demonstration of the IVM system and showcase its software and hardware components.
August 2012
You will hear about a patented LLNL optical diagnostic microscope design that can provide real-time imaging for tissue pathology and many other market applications.
Synthetic Biology: Bringing Engineering Back Into Genetic EngineeringSachin Rawat
Genetic Engineering lacks a few elements of Engineering. Here is what those are and how Synthetic Biology (or Genetic Engineering v2.0) would account for those.
Microarray is a technique that arranges biological molecules like DNA on a solid surface to investigate a large number of genes simultaneously. It originated in 1995 when DNA microarrays were first reported for monitoring gene expression patterns. There are different types of microarrays like spotted and in-situ synthesized oligonucleotide arrays. The basic steps of a microarray experiment include array printing, sample preparation/labeling, hybridization, washing, scanning and data analysis. It has various applications in gene expression analysis, disease diagnosis, drug discovery and more. Though expensive, microarrays allow fast, high-throughput analysis of thousands of genes.
Genetic engineering involves directly manipulating an organism's genome using biotechnology. To work in genetic engineering, one needs at minimum a bachelor's degree in science or molecular biology, or a B.E./B.Tech. with biology, chemistry, mathematics, and genetics. There are increasing job prospects for genetic engineers in medical, pharmaceutical, agricultural, and research organizations. The average annual salary for a genetic engineer in India is Rs. 2,40,000 to Rs. 3,00,000.
Genetic engineering involves directly manipulating an organism's genome using biotechnology. To work in genetic engineering, one needs at minimum a bachelor's degree in science or molecular biology, or a B.E./B.Tech. with biology, chemistry, mathematics, and genetics. There are increasing job prospects for genetic engineers in medical, pharmaceutical, agricultural, and research organizations. The average annual salary for a genetic engineer in India is Rs. 2,40,000 to Rs. 3,00,000. Key institutes for genetic engineering education include Sathyabama University, Indian Institute of Science Bangalore, and Indian Institute of Technology Mumbai.
Poster prepared for the Exhibition during the African Union 2010 Summit, Theme—ICT in Africa: Challenges & Prospects for Development, held at UNECA, Addis Ababa, Ethiopia, 29 Jan-2 Feb 2010.
Immune electron microscopy is a variation of electron microscopy. It is applied for diagnosis of many viral infections. A difficult procedure, IEM was developed as a diagnostic aid for detecting and identifying transmissible gastroenteritis virus and rotavirus (reovirus-like agent) in fecal and intestinal contents from cases of gastroenteritis in young pigs. IEM is one of the fastest and most sensitive methods for the detection and diagnosis of viruses. This technique is based on formation of immune complexes of the virus with its corresponding antibody.
Introduction to Microarray in Gene Expression studiesSarbesh D. Dangol
The document provides an introduction to microarrays. It describes that microarrays allow for the simultaneous assessment of large numbers of nucleic acids in parallel using molecular hybridization methods. Microarrays involve preparing miniaturized collections of known nucleic acid sequences that are immobilized on a solid surface as targets. Labeled mRNA or DNA samples are used as probes to determine expression levels of thousands of genes at once through detecting which probes hybridize to which targets. The document outlines the basic components and manufacturing of microarrays as well as their applications in gene expression analysis, genome analysis, and drug discovery.
This document summarizes a study that integrated a fiber optic biosensor onto a small remotely piloted airplane to detect and identify aerosolized bacteria. Key points:
1) Researchers aimed to develop a system that could identify specific bacteria in an aerosol and transmit the data remotely, to warn of potential biological warfare attacks.
2) They integrated a fiber optic biosensor, automated fluidics system, air sampler, radio transceiver and batteries onto a 4.5 kg payload drone.
3) The system was tested at Dugway Proving Ground using harmless releases of Bacillus subtilis var. niger bacteria. It was able to collect the bacteria, identify them in flight, and
DNA microarrays allow researchers to study gene expression patterns across thousands of genes simultaneously. Microarrays work by hybridizing fluorescently-labeled cDNA or cRNA to complementary DNA probes affixed to a solid surface, such as a glass slide. There are two main types of microarrays: cDNA microarrays where cDNA fragments are spotted onto glass slides, and in situ synthesized oligonucleotide arrays with short DNA sequences directly built onto chips. Microarrays have numerous applications including gene expression profiling, comparative genomics, disease diagnosis, drug discovery, and toxicology research.
This document discusses the use of cryo-electron microscopy (cryoEM) in medicines discovery. It provides an overview of cryoEM techniques including negative stain EM, which can be used to assess sample purity and heterogeneity. Automated cryoEM image processing is described that can process thousands of images within 45 minutes. Examples are given of structures determined by cryoEM at near-atomic resolution. The document outlines the various steps involved in a cryoEM study from sample preparation to model building. Training opportunities in cryoEM techniques are also mentioned that are available to both academic and industry participants.
High-throughput field-based phenotyping in maizeCIMMYT
High-throughput field-based phenotyping (HTTP) in maize is driven by the need for more efficient and lower-cost breeding programs. Key criteria for effective HTTP include high spatial and temporal resolution to extract plant and plot-level data. HTTP enables assessment of important traits like plant height, flowering date, disease severity, and yield components. Technologies like drones, sensors, and image processing allow mapping of field variability and estimation of traits like crop cover, flowering, plant height, lodging, senescence, plant population, and ear traits. Deep learning approaches also show potential for multi-trait phenotyping to enable rapid screening for grain yield.
Our second webinar in the MDC Connects Series 2021 | A Guide to Complex Medicines.
This slide deck takes a closer look at CryoEM in characterisation and quality control of complex medicines
Dr Rebecca Thompson, Astbury Biostructure Laboratory
The document discusses phenotyping approaches for biotic stresses in IITA mandate crops. It outlines the major diseases and pests affecting cassava, yam, banana, maize, soybean and cowpea. Current phenotyping methods include visual assessments of infection rates and disease severity. It recommends modernizing methods with digital tools, benchmark sites, and data collection. Challenges include insufficient facilities, depletion of pathogen isolates, and thinly stretched staffing. The way forward is developing a phenotyping-genotyping pipeline with omics applications to identify traits, markers and mechanisms of resistance.
The document discusses using atomic force microscopy (AFM) to map protein-DNA interactions. It outlines how AFM chips can be fabricated through photolithography to include nanochannels. The chips allow rapid detection of protein-bound DNA, which has applications for studying gene expression, DNA restriction, and DNA mutations. Questions from researchers using the technique are also addressed.
Our second webinar in the MDC Connects Series 2021 | A Guide to Complex Medicines.
This slide deck takes a closer look at cellular internalisation and trafficking of complex medicines.
Dr Jamie Szczerkowski, Medicines Discovery Catapult
Next generation sequencing (NGS) provides a high-throughput and cheaper alternative to DNA sequencing through massively parallel sequencing of millions of DNA fragments simultaneously. NGS can be used for target sequencing to identify disease-causing mutations, RNA sequencing to study entire transcriptomes, and has various applications in cancer research and treatment including identifying mutations that predict responses to immunotherapy. However, NGS also faces challenges like accurately sequencing regions with repeats and detecting fusion genes.
This document provides an overview of DNA microarray technology. It discusses the historical background beginning in the 1970s with Southern blotting and the development of microarrays in the 1980s. The key principles are that DNA microarrays allow analysis of thousands of genes simultaneously and efficiently through orderly arrangement of DNA sequences on a solid surface like glass. The main steps involve preparing the microarray slide through various methods, performing experiments with sample mRNA, fluorescence scanning, and data analysis to understand gene expression patterns. DNA microarray technology has wide applications in studying diseases, toxicology, and stem cell research.
China Medical University Student ePaper2Isabelle Chiu
Microarray and bio-chips provide a new technology for analyzing samples in an instant, automatic, and high-efficiency way. Microarray biochips can be divided into DNA chips and protein chips. DNA chips use nucleic acids as probes to examine thousands of genes simultaneously, while protein chips use proteins, antibodies, or microorganisms as probes to detect factors like hormones. Microarray biochips allow many samples, reagents, and biological materials to react on a small, miniaturized device, generating data immediately after quantitative analysis. This technology is being developed for uses in medical diagnostics and drug development.
The document is a mid-term seminar report on biochips submitted by Isha D. Shende and Laxmi Kewat. It discusses biochips, which concentrate thousands of genetic tests on a small surface area to be analyzed quickly. The report covers what biochips are, their architecture including size and components, applications in areas like genomics and proteomics, human interfaces with biochips, and advantages and disadvantages. It provides an abstract, table of contents, list of figures, and discusses biochips over several chapters.
After introducing intravital imaging in Webinar #1 and the IVM system and its capabilities in Webinar #2, we brought you real-world examples of IVM applications in collaboration with our reference sites. We presented specific examples of how to apply the IVM system to address various research questions during this webinar.
After viewing this on-demand webinar, attendees will have an understanding of how the IVM system can be applied in preclinical research to visualize and analyze in vivo dynamic processes at a cellular level.
Please register for the final part of this webinar series to see the IVM system in action as we give a live virtual demonstration of the IVM system and showcase its software and hardware components.
August 2012
You will hear about a patented LLNL optical diagnostic microscope design that can provide real-time imaging for tissue pathology and many other market applications.
Synthetic Biology: Bringing Engineering Back Into Genetic EngineeringSachin Rawat
Genetic Engineering lacks a few elements of Engineering. Here is what those are and how Synthetic Biology (or Genetic Engineering v2.0) would account for those.
Microarray is a technique that arranges biological molecules like DNA on a solid surface to investigate a large number of genes simultaneously. It originated in 1995 when DNA microarrays were first reported for monitoring gene expression patterns. There are different types of microarrays like spotted and in-situ synthesized oligonucleotide arrays. The basic steps of a microarray experiment include array printing, sample preparation/labeling, hybridization, washing, scanning and data analysis. It has various applications in gene expression analysis, disease diagnosis, drug discovery and more. Though expensive, microarrays allow fast, high-throughput analysis of thousands of genes.
Genetic engineering involves directly manipulating an organism's genome using biotechnology. To work in genetic engineering, one needs at minimum a bachelor's degree in science or molecular biology, or a B.E./B.Tech. with biology, chemistry, mathematics, and genetics. There are increasing job prospects for genetic engineers in medical, pharmaceutical, agricultural, and research organizations. The average annual salary for a genetic engineer in India is Rs. 2,40,000 to Rs. 3,00,000.
Genetic engineering involves directly manipulating an organism's genome using biotechnology. To work in genetic engineering, one needs at minimum a bachelor's degree in science or molecular biology, or a B.E./B.Tech. with biology, chemistry, mathematics, and genetics. There are increasing job prospects for genetic engineers in medical, pharmaceutical, agricultural, and research organizations. The average annual salary for a genetic engineer in India is Rs. 2,40,000 to Rs. 3,00,000. Key institutes for genetic engineering education include Sathyabama University, Indian Institute of Science Bangalore, and Indian Institute of Technology Mumbai.
Poster prepared for the Exhibition during the African Union 2010 Summit, Theme—ICT in Africa: Challenges & Prospects for Development, held at UNECA, Addis Ababa, Ethiopia, 29 Jan-2 Feb 2010.
Immune electron microscopy is a variation of electron microscopy. It is applied for diagnosis of many viral infections. A difficult procedure, IEM was developed as a diagnostic aid for detecting and identifying transmissible gastroenteritis virus and rotavirus (reovirus-like agent) in fecal and intestinal contents from cases of gastroenteritis in young pigs. IEM is one of the fastest and most sensitive methods for the detection and diagnosis of viruses. This technique is based on formation of immune complexes of the virus with its corresponding antibody.
Introduction to Microarray in Gene Expression studiesSarbesh D. Dangol
The document provides an introduction to microarrays. It describes that microarrays allow for the simultaneous assessment of large numbers of nucleic acids in parallel using molecular hybridization methods. Microarrays involve preparing miniaturized collections of known nucleic acid sequences that are immobilized on a solid surface as targets. Labeled mRNA or DNA samples are used as probes to determine expression levels of thousands of genes at once through detecting which probes hybridize to which targets. The document outlines the basic components and manufacturing of microarrays as well as their applications in gene expression analysis, genome analysis, and drug discovery.
This document summarizes a study that integrated a fiber optic biosensor onto a small remotely piloted airplane to detect and identify aerosolized bacteria. Key points:
1) Researchers aimed to develop a system that could identify specific bacteria in an aerosol and transmit the data remotely, to warn of potential biological warfare attacks.
2) They integrated a fiber optic biosensor, automated fluidics system, air sampler, radio transceiver and batteries onto a 4.5 kg payload drone.
3) The system was tested at Dugway Proving Ground using harmless releases of Bacillus subtilis var. niger bacteria. It was able to collect the bacteria, identify them in flight, and
DNA microarrays allow researchers to study gene expression patterns across thousands of genes simultaneously. Microarrays work by hybridizing fluorescently-labeled cDNA or cRNA to complementary DNA probes affixed to a solid surface, such as a glass slide. There are two main types of microarrays: cDNA microarrays where cDNA fragments are spotted onto glass slides, and in situ synthesized oligonucleotide arrays with short DNA sequences directly built onto chips. Microarrays have numerous applications including gene expression profiling, comparative genomics, disease diagnosis, drug discovery, and toxicology research.
This document discusses the use of cryo-electron microscopy (cryoEM) in medicines discovery. It provides an overview of cryoEM techniques including negative stain EM, which can be used to assess sample purity and heterogeneity. Automated cryoEM image processing is described that can process thousands of images within 45 minutes. Examples are given of structures determined by cryoEM at near-atomic resolution. The document outlines the various steps involved in a cryoEM study from sample preparation to model building. Training opportunities in cryoEM techniques are also mentioned that are available to both academic and industry participants.
High-throughput field-based phenotyping in maizeCIMMYT
High-throughput field-based phenotyping (HTTP) in maize is driven by the need for more efficient and lower-cost breeding programs. Key criteria for effective HTTP include high spatial and temporal resolution to extract plant and plot-level data. HTTP enables assessment of important traits like plant height, flowering date, disease severity, and yield components. Technologies like drones, sensors, and image processing allow mapping of field variability and estimation of traits like crop cover, flowering, plant height, lodging, senescence, plant population, and ear traits. Deep learning approaches also show potential for multi-trait phenotyping to enable rapid screening for grain yield.
Our second webinar in the MDC Connects Series 2021 | A Guide to Complex Medicines.
This slide deck takes a closer look at CryoEM in characterisation and quality control of complex medicines
Dr Rebecca Thompson, Astbury Biostructure Laboratory
The document discusses phenotyping approaches for biotic stresses in IITA mandate crops. It outlines the major diseases and pests affecting cassava, yam, banana, maize, soybean and cowpea. Current phenotyping methods include visual assessments of infection rates and disease severity. It recommends modernizing methods with digital tools, benchmark sites, and data collection. Challenges include insufficient facilities, depletion of pathogen isolates, and thinly stretched staffing. The way forward is developing a phenotyping-genotyping pipeline with omics applications to identify traits, markers and mechanisms of resistance.
The document discusses using atomic force microscopy (AFM) to map protein-DNA interactions. It outlines how AFM chips can be fabricated through photolithography to include nanochannels. The chips allow rapid detection of protein-bound DNA, which has applications for studying gene expression, DNA restriction, and DNA mutations. Questions from researchers using the technique are also addressed.
Our second webinar in the MDC Connects Series 2021 | A Guide to Complex Medicines.
This slide deck takes a closer look at cellular internalisation and trafficking of complex medicines.
Dr Jamie Szczerkowski, Medicines Discovery Catapult
Next generation sequencing (NGS) provides a high-throughput and cheaper alternative to DNA sequencing through massively parallel sequencing of millions of DNA fragments simultaneously. NGS can be used for target sequencing to identify disease-causing mutations, RNA sequencing to study entire transcriptomes, and has various applications in cancer research and treatment including identifying mutations that predict responses to immunotherapy. However, NGS also faces challenges like accurately sequencing regions with repeats and detecting fusion genes.
This document provides an overview of DNA microarray technology. It discusses the historical background beginning in the 1970s with Southern blotting and the development of microarrays in the 1980s. The key principles are that DNA microarrays allow analysis of thousands of genes simultaneously and efficiently through orderly arrangement of DNA sequences on a solid surface like glass. The main steps involve preparing the microarray slide through various methods, performing experiments with sample mRNA, fluorescence scanning, and data analysis to understand gene expression patterns. DNA microarray technology has wide applications in studying diseases, toxicology, and stem cell research.
China Medical University Student ePaper2Isabelle Chiu
Microarray and bio-chips provide a new technology for analyzing samples in an instant, automatic, and high-efficiency way. Microarray biochips can be divided into DNA chips and protein chips. DNA chips use nucleic acids as probes to examine thousands of genes simultaneously, while protein chips use proteins, antibodies, or microorganisms as probes to detect factors like hormones. Microarray biochips allow many samples, reagents, and biological materials to react on a small, miniaturized device, generating data immediately after quantitative analysis. This technology is being developed for uses in medical diagnostics and drug development.
The document is a mid-term seminar report on biochips submitted by Isha D. Shende and Laxmi Kewat. It discusses biochips, which concentrate thousands of genetic tests on a small surface area to be analyzed quickly. The report covers what biochips are, their architecture including size and components, applications in areas like genomics and proteomics, human interfaces with biochips, and advantages and disadvantages. It provides an abstract, table of contents, list of figures, and discusses biochips over several chapters.
Biochips are miniaturized laboratories that can perform hundreds or thousands of biochemical reactions simultaneously. They contain thousands of individual sensors to analyze biological samples for applications like disease diagnosis and bioterrorism detection. A typical biochip consists of a computer microchip storing a unique identification number, an antenna coil, a tuning capacitor, and a hermetically sealed glass capsule containing these components. Biochips have advantages like being extremely small, able to detect multiple agents in parallel, and increase the speed of diagnosing unknown pathogens. However, they also have limitations such as difficulties in high density fabrication and standardization challenges across devices. Biochips have applications in areas like genomics, proteomics, cellomics, and bio-diagnostics
Biochips & microarray technology consists of the following key points:
Biochips are miniaturized laboratories that can perform hundreds or thousands of simultaneous biochemical reactions. They contain individual sensors to detect defects. Biochips have components like a computer microchip, antenna coil, and capacitor encapsulated in glass.
Biochips have applications in genomics, proteomics, cellomics, and bio-diagnostics like disease diagnosis. They allow researchers to quickly screen large numbers of samples.
Advantages of biochips include their small size, ability to perform fast reactions, increase diagnosis speed, and ease of use. Limitations include difficulty producing at high density and lack of standardization. Overall, biochips promise to
In molecular biology, biochips are essentially miniaturized laboratories that can perform hundreds or thousands of simultaneous biochemical reactions. Biochips enable researchers to quickly screen large numbers of biological analytes for a variety of purposes, from disease diagnosis to detection of bioterrorism agents.
This document discusses biochips, which are miniaturized test sites arranged on a solid substrate that allow thousands of biological reactions to occur simultaneously. It describes the basic components and workings of biochip systems, which involve a transponder implanted under the skin that communicates with an external reader via radio waves. The document outlines several applications of biochip technology in areas like identification, financial transactions, healthcare, and more. Both advantages like speed and potential disadvantages regarding privacy are mentioned. The future of more integrated biochip implants is also envisioned.
This document discusses biochip technology. It begins with an introduction to biochips, which are microscopic electronic devices that use microarray and signal processing technologies. It then covers the history and development of biochips since the 1980s using advances in semiconductors and biochemistry. Biochips are classified into DNA chips, protein chips, antibody chips, and tissue chips. The document discusses the architecture of biochips and their applications in pharmaceutical research, medical diagnostics, forensics, transplantation, and environmental testing. It proposes future directions such as implantable multifunctional biochips for health monitoring and identification. In closing, the document expresses appreciation and invites questions.
IRJET- Biometric based Medical Record SystemIRJET Journal
This document describes a biometric-based medical records system that uses fingerprint recognition. The system aims to securely store patients' medical records and allow doctors to easily access records. It uses a fingerprint sensor to identify patients based on their unique fingerprints. When a patient's fingerprint is scanned, the system can quickly retrieve their medical information within one second. This provides a more secure and accurate way to identify patients than traditional ID cards or barcodes. The system is designed to securely share patients' electronic medical records between hospitals and doctors to improve treatment while maintaining privacy.
Biochips can perform hundreds or thousands of biochemical reactions simultaneously on a surface no larger than a fingernail. They are used to analyze genes in cells and for applications in biology and medicine. A biochip consists of a microchip, antenna coil, capacitor, and glass capsule implanted under the skin. It communicates with a reader via radio signals. Biochips can identify diseases like sepsis from a blood sample within 20 minutes, faster than other methods. They allow multiple tests to be done at once and have advantages for applications in healthcare, forensics, and tracking of shipments.
The document summarizes the advantages and disadvantages of biochip technology. The key advantages are that biochips allow for detection of multiple viral agents in parallel, clarification of unknown diseases, increased diagnosis speed, viral typing, and epidemiological tracing. However, the disadvantages are that early biochip fabrication methods had limitations in achieving high density and mass production.
A CNT-based artificial nose for food spoilage detectionIRJET Journal
This document proposes a CNT-based artificial nose for detecting food spoilage. It would consist of a storage box with a carbon nanotube sensor on the cover that detects waste gases produced by bacteria as food spoils. When the CNT sensor detects spoilage-level gases, a light on the box would turn on to warn the user not to eat the food. The CNTs would act as a chemiresistor, changing resistance when exposed to waste gases. This would allow the sensor to quantify gas concentration and determine if the food is still safe to consume, helping prevent food poisoning. The CNTs would be deposited on the cover via spray technique to form the sensing layer.
“Biochips” form the most exciting technology to emerge from the fields of Biotechnology, Electronics and Computers in recent years.
Advances in the areas of proteomics, genomics and pharmaceuticals are empowering scientists with new methods for unraveling the complex biochemical processes occurring within cells, with the larger goal of understanding and treating human diseases.
Almost simultaneously, the semiconductor industry has been steadily perfecting the science of micro-miniaturization.
1. Bio – MEMS abbreviated form of Bio – Medical ( or Biological ) Micro Electro Mechanical System.
2. Techniques originally developed in Microelectronic Industries. It considers Lab - on – a – chip (LOC) and Micro Total Analysis System (μTAS).
3. More Focused on ( Made suitable for Biological Application )
4. Mechanical Parts Microfabrication Techniques
Bio – MEMS combines
Material Science & Clinical Science
Medicines and Surgery
Electrical Engineering
Optical, Chemical & Biomedical Engineering
5. Applications Includes :
a)Geonomics & Proteomics
b)Molecular & Point of care Diagnostics
c)Tissue Engineering & Implantable Micro Devices
The seminar presentation provided an overview of biochips, including how they work and their applications. It defined a biochip as a miniaturized laboratory capable of performing thousands of biochemical reactions simultaneously on a solid substrate. The presentation covered the brief history of biochip development, the technologies behind biochips such as sensing and signal processing, how biochips are structured and implanted in living organisms, their current applications in areas like healthcare and financial services, and their advantages like speed and ability to store user information. The future potential of biochips as replacements for passports and medical records was also discussed.
This document describes a passive radio-frequency sensing tag for wireless food quality monitoring. A prototype was demonstrated that uses a pH sensor to continuously and remotely monitor fish meat quality during storage and delivery. The tag is batteryless and transmits pH data via radio frequency. Monitoring food pH is important as it varies during spoilage processes. Existing methods for food quality monitoring require batteries or wired connections. The proposed wireless pH sensing tag provides a cost-effective solution for remotely monitoring large quantities of food.
Design of Organ-On-A-Chip - Creative Biolabs.pptxCreative-Biolabs
Creative Biolabs has developed an extensive microfluidic technology platform, offering customers one-stop services covering all aspects of microfluidic research and evaluation. This includes the design and manufacturing of organ-on-a-chip (OOC) systems, as well as personalized, customized solutions tailored to individual needs.
This slide briefly introduces our OOC design concepts. If you require further details, products, and services related to OOC, please follow us to stay updated and informed.
Biochips are miniaturized test sites arranged on a solid substrate that can perform thousands of biological reactions in seconds. They consist of a transponder implanted under the skin and a reader that communicates with the transponder via radio waves. Biochips have applications in identification, financial transactions, medical diagnostics, and tracking individuals and animals. They offer advantages like speed, ability to store personal data, and replacing items like passports and ID cards.
The document discusses a micro electronic pill that can be swallowed to wirelessly monitor the gastrointestinal tract. It consists of sensors, a camera, antenna and battery inside a capsule shape. It transmits data like temperature, pH and video to an external receiver within 1 meter. The summary is:
1. The micro electronic pill can be swallowed to monitor the gastrointestinal tract and transmit sensor data and video wirelessly to an external receiver.
2. It consists of components like a camera, sensors, antenna and battery enclosed in a small capsule shape.
3. The pill transmits data on factors like temperature and pH to help diagnose diseases of the gastrointestinal tract.
Biochip Informatics Technology For Electronic & Communication EngineeringNazakatHussain15
Biochips are small-scale devices analogous to integrated circuits that are constructed of or used to analyze organic molecules associated with living organisms. There are two main types of biochips: 1) those constructed of large organic molecules like proteins that can perform data storage and processing like computers, and 2) those capable of performing rapid small-scale biochemical reactions to identify things like gene sequences, pollutants, or other biochemical constituents. Biochips work by emitting a light beam through a fluidic channel that objects passing through will distort, allowing detection of small intensity changes. While biochips raise privacy issues and concerns about control, they also have advantages like identifying individuals uniquely, performing thousands of biochemical reactions quickly, and aiding in medical diagnosis and analytical
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.