These slides are meant to introduce the concepts between new software methods that aim at building 'Smart Knowledge Portals' - as a new kind of 'expert system' or 'artificial intelligence'. ENJOY!
Machine Learning in Pathology Diagnostics with Simagis Livekhvatkov
Simagis Live Digital Pathology platform employs latest generation of visual recognition technology with Deep Learning bring game changing application to pathology cancer diagnostics
- The document discusses using digital pathology and machine learning for personalized cancer therapy. It describes how pathology information from tumor samples can be used along with genetic and medical history to determine optimal individualized treatment options.
- Machine learning algorithms can be trained on large libraries of digitized pathology slides annotated by pathologists to automatically recognize and quantify cell patterns and biomarkers. This can help objectively analyze samples and integrate pathology knowledge.
- A digital pathology solution is proposed that uses deep learning networks and crowdsourced training to build robust diagnostic pattern recognition models. It aims to support collaborative diagnostic workflows, integrate case information, enable remote access and sharing, and perform data mining across sample libraries.
Digital medicine: A Way to High Tech HealthShruti Richa
Digital medicines use mobile/web applications to help patients take medications on schedule. They aim to improve adherence by making pharmaceutical therapy more convenient. As digital technology becomes more accessible, it must be leveraged to modernize medicine delivery and fill gaps in patient care. The FDA regulates digital health products like mobile apps and devices to encourage innovation while ensuring safety and effectiveness. Novel technologies continue to emerge, requiring updated regulatory policies.
This document describes an online system called OncoGenomics Explorer for analyzing multi-dimensional cancer genomics and clinical data. It contains the world's largest unified database of over 20,000 cancer samples and 300 cancer types. The system harnesses petabyte-scale heterogeneous cancer data to enable knowledge-based decisions for clinical trial recruitment and drug repositioning through intuitive analysis tools and visualization of gene correlations with clinical outcomes.
Software as a service, to investigate time series, complex data, measurements and images such that times and trends can be compared, and qualities can be quantified.
Tech Webinar: Big Data: Introduzione al Machine Learning ed all'Analisi Predi...Codemotion
Mario Cartia ci parla delle tecniche di base dell'analisi predittiva e di alcuni software open source che consentono oggi di effettuare analisi sui dataset, nascondendo la complessità degli algoritmi sottostanti.
Iscriviti qui per partecipare ad altri Tech Webinar gratuiti: http://goo.gl/iW81VD
Scrivici a: training@codemotion.it
Tw: http://twitter.com/CodemotionTR
Quahog Data Visualization is a module that allows medical enterprises like hospitals, pharmaceutical companies, and bioresearch organizations to build insights and decision dashboards from their data on a unified platform. It features data import, transformation, analysis and visualization capabilities. Pre-built models can be configured for tasks like extracting behavioral patterns, collaborative filtering, and named entity recognition. The platform provides a flexible schema to organize data from multiple sources and integrates with other modules for expert systems and patient applications. It aims to save time and money through easy configuration and runtime reporting of insights.
This document discusses two case studies of companies that implemented diagnostic imaging solutions and data warehouse designs. For the first case study, the company had multiple disparate data sources and contradictory data that lacked a single view. The solution included data cleansing applications and report viewing integrated into SharePoint. For the second case study, the company also had multiple data sources and no database documentation. The solution involved reverse engineering the data structure and daily scheduled data imports with reports to help clean the source data.
Machine Learning in Pathology Diagnostics with Simagis Livekhvatkov
Simagis Live Digital Pathology platform employs latest generation of visual recognition technology with Deep Learning bring game changing application to pathology cancer diagnostics
- The document discusses using digital pathology and machine learning for personalized cancer therapy. It describes how pathology information from tumor samples can be used along with genetic and medical history to determine optimal individualized treatment options.
- Machine learning algorithms can be trained on large libraries of digitized pathology slides annotated by pathologists to automatically recognize and quantify cell patterns and biomarkers. This can help objectively analyze samples and integrate pathology knowledge.
- A digital pathology solution is proposed that uses deep learning networks and crowdsourced training to build robust diagnostic pattern recognition models. It aims to support collaborative diagnostic workflows, integrate case information, enable remote access and sharing, and perform data mining across sample libraries.
Digital medicine: A Way to High Tech HealthShruti Richa
Digital medicines use mobile/web applications to help patients take medications on schedule. They aim to improve adherence by making pharmaceutical therapy more convenient. As digital technology becomes more accessible, it must be leveraged to modernize medicine delivery and fill gaps in patient care. The FDA regulates digital health products like mobile apps and devices to encourage innovation while ensuring safety and effectiveness. Novel technologies continue to emerge, requiring updated regulatory policies.
This document describes an online system called OncoGenomics Explorer for analyzing multi-dimensional cancer genomics and clinical data. It contains the world's largest unified database of over 20,000 cancer samples and 300 cancer types. The system harnesses petabyte-scale heterogeneous cancer data to enable knowledge-based decisions for clinical trial recruitment and drug repositioning through intuitive analysis tools and visualization of gene correlations with clinical outcomes.
Software as a service, to investigate time series, complex data, measurements and images such that times and trends can be compared, and qualities can be quantified.
Tech Webinar: Big Data: Introduzione al Machine Learning ed all'Analisi Predi...Codemotion
Mario Cartia ci parla delle tecniche di base dell'analisi predittiva e di alcuni software open source che consentono oggi di effettuare analisi sui dataset, nascondendo la complessità degli algoritmi sottostanti.
Iscriviti qui per partecipare ad altri Tech Webinar gratuiti: http://goo.gl/iW81VD
Scrivici a: training@codemotion.it
Tw: http://twitter.com/CodemotionTR
Quahog Data Visualization is a module that allows medical enterprises like hospitals, pharmaceutical companies, and bioresearch organizations to build insights and decision dashboards from their data on a unified platform. It features data import, transformation, analysis and visualization capabilities. Pre-built models can be configured for tasks like extracting behavioral patterns, collaborative filtering, and named entity recognition. The platform provides a flexible schema to organize data from multiple sources and integrates with other modules for expert systems and patient applications. It aims to save time and money through easy configuration and runtime reporting of insights.
This document discusses two case studies of companies that implemented diagnostic imaging solutions and data warehouse designs. For the first case study, the company had multiple disparate data sources and contradictory data that lacked a single view. The solution included data cleansing applications and report viewing integrated into SharePoint. For the second case study, the company also had multiple data sources and no database documentation. The solution involved reverse engineering the data structure and daily scheduled data imports with reports to help clean the source data.
This document summarizes the abuse of psychiatry in the UK legal system as observed by Leonard Lawrence. It describes how Lawrence was medicated to the point of losing mental capacity and deprived of access to the Court of Protection for 18 months. During this time, considerable amounts of his assets went missing. The document alleges failures by the Official Solicitor and others to properly protect Lawrence and involve the Court of Protection, resulting in over £100,000 in legal fees being generated against him when he lacked capacity. It calls for reform including unique identifiers on medical documents to establish proper oversight of cases where individuals are deemed to lack capacity.
This short document discusses a boy described as beautiful, with a condition that makes people want to cry. It encourages sharing a post about the boy to show compassion, as his ability to smile despite challenges suggests anyone can find joy.
This document provides an overview of a research study exploring how internet and mobile technologies can enhance midwifery service delivery. The study will involve interviews with midwives and women in the Hawke's Bay region of New Zealand. The research aims to understand current and potential future uses of technologies, as well as perceptions of trust and benefits/risks. Key questions include how technologies can save time and improve the service process. The researcher is seeking assistance with participant recruitment and consent for semi-structured interviews to gather insights from midwives and women.
This document discusses issues related to forced adoptions and foster care in the UK without parental consent. Some key points:
- The percentage of children in care who are adopted has risen from 4% in 1996 to 8% in 2014, and 96% of adoptions are without parental consent.
- 23% of prisoners have previously been in foster care.
- Forced removals of children by social services are rising consistently since 1994 and similar trends are seen in other European countries.
- There are concerns about illegal adoptions, child trafficking, and sexual abuse of children in foster care or care homes.
- The document calls for investigations and reforms regarding child protection laws and practices in the UK and
The document discusses five issues related to child protection in the UK and EU: 1) child snatching by social services, 2) secrecy in UK family courts, 3) forced adoptions against parents' will, 4) child sexual abuse by foster parents and care home staff, and 5) satanic ritual abuse. It notes petitions to the EU parliament to abolish adoptions without parental consent and for a national inquiry into organized child abuse. It calls for protecting children's interests across borders in line with EU directives and advocating for child safety to the UN. The document promotes advocacy groups that protect children from sexual offenders and bring awareness to these issues through mainstream media and online channels.
Software lenses combine visual analysis algorithms, semi-automatic image contexts, and innovative image metrics to analyze single images and process high throughput data. Image metrics are interpreted by expert users to study short series, find averages, and determine reference values. These reference values are then used by less skilled users to select particular images within specific ranges for varying visualization parameters and metric variables. The software reveals new depth, perspectives, and hitherto invisible structures for visual analysis. It also offers metric investigation for any context at any scale and imaging technology through quantifications and real-time processing of large amounts of images.
1. The document describes a new '3dM' methodology developed by Sabine Kurjo McNeill for measuring physical, chemical, and biological phenomena across different scales using mathematics, programming, and a concept of "3dM Qualities".
2. The methodology was developed into software prototypes and applied to case studies in finance, genomics, and imaging to generate new visual representations and metrics for data analysis.
3. The '3dM' methodology aims to create a general framework for quantifying and comparing measures across domains that were previously not comparable.
This document discusses using Visual Data Intelligence (VDI) and 3D metrics as the basis for analyzing and visualizing data across scales from nano to cosmic, in a scale-independent way. Key points include using light as a reference standard rather than the speed of light, complementing SI units with spherical parameters, and allowing independence of physical scale and metrical context through spherical fields and geometric variables. The approach is proposed to provide benefits for analyzing nano-technologies through a new form of 3D metrology.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document summarizes Sabine McNeill's background as a web publisher advocating against child protection policies in the UK that she views as "child snatching". It provides an overview of the various cases and individuals she has highlighted on her website to bring attention to forced adoptions and families impacted by family court decisions. The document also outlines her efforts to educate politicians and the public through online petitions, rallies, and working with other campaigners and advocates calling for reform to the family court system in the UK.
The document discusses challenging the recession by changing the economy through various means. It proposes that we can change the economy and discusses establishing green credit for green purposes to ameliorate climate change. It also discusses establishing a public credit system as an alternative to the current debt-based monetary system and engaging in petitions and meetings to promote this issue.
The document provides statistics on internet and mobile usage from the International Telecommunication Union. It contains two main sections, one on internet statistics and another on mobile statistics. The source for the statistics is listed as the ITU's website on ICT statistics.
1) Artificial intelligence (AI) aims to create intelligent machines that think and act like humans. AI techniques like machine learning and deep learning are used to analyze medical images.
2) Machine learning uses algorithms to analyze data, learn from it, and make decisions. Deep learning is a type of machine learning that can learn from large amounts of unlabeled data.
3) AI shows promise in analyzing medical images to detect diseases, fractures, and cancers. It may help diagnose conditions like pneumonia faster and flag abnormalities to expedite treatment.
Artificial intelligence in medical imaging and radio diagnosticGourav Guwal
The document discusses the growing market for artificial intelligence applications in medical imaging and radio-diagnostics. It outlines how AI is being used for tasks like image processing, disease detection, and aiding physician diagnoses. The market is projected to significantly expand as AI can help analyze large amounts of medical image data and potentially improve outcomes over traditional human review alone.
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...IRJET Journal
This document presents a system for predicting multiple diseases using symptoms and images with fuzzy logic. It discusses:
1. Creating a database by applying fuzzy rules to symptoms and labeled images provided by experts. This is the training phase.
2. Allowing users to enter symptoms or upload images for testing. The system analyzes the inputs using k-means clustering and fuzzy logic to predict the most likely diseases.
3. Experimental results showing the proposed system achieves higher accuracy (90%) and faster prediction times compared to existing methods. It can predict diseases from both symptoms and images to assist patients.
Case Study: Advanced analytics in healthcare using unstructured dataDamo Consulting Inc.
This document summarizes a case study on using unstructured data like images to analyze diabetic retinopathy. Retinal images from half a million patients were analyzed using neural networks and computer vision to detect disease patterns. This automated analysis compressed 50 years of clinical experience into 24 hours to more accurately diagnose patients. The results complemented physician expertise. This case study demonstrates the potential of advanced analytics and large datasets to enhance medical diagnosis using unstructured data like images.
Computer aid in medical instrument term paper PPTKoushik Sarkar
The document discusses various computer-aided medical instruments and technologies. It describes several existing computerized instruments such as X-ray machines, CT scanners, MRI machines, and ECG machines. It also discusses challenges with existing instruments and ongoing research into 3D graphical interfaces for computer-assisted surgery, computer-aided surgery using robotics, direct brain interfaces between humans, and medical apps for Android mobile devices. The document emphasizes how computers and medical technology can help improve diagnosis, aid surgery planning and procedures, and enhance information access for healthcare providers.
Artificial intelligence in healthcare market global trends, market share, ind...Shubham Bhosale
The document discusses the global artificial intelligence in healthcare market. It predicts the market will be worth over $37 billion by 2029, growing at a CAGR of over 50% from 2019 to 2029. The increasing amounts of healthcare data and need for data management is driving adoption of AI. While deep learning and natural language processing show potential, a lack of skilled labor and unclear regulations may impede market growth. The market is segmented by region, technology, offering, end use, and end user.
Inspirata provides a digital pathology solution that automates the pathology workflow and transforms it from analog to digital. Their solution includes high-volume slide scanning, a digital pathology cockpit for viewing and analyzing slides, and integrated image analysis tools. Inspirata has partnered with multiple healthcare organizations to implement their solution and help digitize millions of slides. Their business model transforms capital expenses for healthcare organizations by providing the solution as a managed service.
This document summarizes the abuse of psychiatry in the UK legal system as observed by Leonard Lawrence. It describes how Lawrence was medicated to the point of losing mental capacity and deprived of access to the Court of Protection for 18 months. During this time, considerable amounts of his assets went missing. The document alleges failures by the Official Solicitor and others to properly protect Lawrence and involve the Court of Protection, resulting in over £100,000 in legal fees being generated against him when he lacked capacity. It calls for reform including unique identifiers on medical documents to establish proper oversight of cases where individuals are deemed to lack capacity.
This short document discusses a boy described as beautiful, with a condition that makes people want to cry. It encourages sharing a post about the boy to show compassion, as his ability to smile despite challenges suggests anyone can find joy.
This document provides an overview of a research study exploring how internet and mobile technologies can enhance midwifery service delivery. The study will involve interviews with midwives and women in the Hawke's Bay region of New Zealand. The research aims to understand current and potential future uses of technologies, as well as perceptions of trust and benefits/risks. Key questions include how technologies can save time and improve the service process. The researcher is seeking assistance with participant recruitment and consent for semi-structured interviews to gather insights from midwives and women.
This document discusses issues related to forced adoptions and foster care in the UK without parental consent. Some key points:
- The percentage of children in care who are adopted has risen from 4% in 1996 to 8% in 2014, and 96% of adoptions are without parental consent.
- 23% of prisoners have previously been in foster care.
- Forced removals of children by social services are rising consistently since 1994 and similar trends are seen in other European countries.
- There are concerns about illegal adoptions, child trafficking, and sexual abuse of children in foster care or care homes.
- The document calls for investigations and reforms regarding child protection laws and practices in the UK and
The document discusses five issues related to child protection in the UK and EU: 1) child snatching by social services, 2) secrecy in UK family courts, 3) forced adoptions against parents' will, 4) child sexual abuse by foster parents and care home staff, and 5) satanic ritual abuse. It notes petitions to the EU parliament to abolish adoptions without parental consent and for a national inquiry into organized child abuse. It calls for protecting children's interests across borders in line with EU directives and advocating for child safety to the UN. The document promotes advocacy groups that protect children from sexual offenders and bring awareness to these issues through mainstream media and online channels.
Software lenses combine visual analysis algorithms, semi-automatic image contexts, and innovative image metrics to analyze single images and process high throughput data. Image metrics are interpreted by expert users to study short series, find averages, and determine reference values. These reference values are then used by less skilled users to select particular images within specific ranges for varying visualization parameters and metric variables. The software reveals new depth, perspectives, and hitherto invisible structures for visual analysis. It also offers metric investigation for any context at any scale and imaging technology through quantifications and real-time processing of large amounts of images.
1. The document describes a new '3dM' methodology developed by Sabine Kurjo McNeill for measuring physical, chemical, and biological phenomena across different scales using mathematics, programming, and a concept of "3dM Qualities".
2. The methodology was developed into software prototypes and applied to case studies in finance, genomics, and imaging to generate new visual representations and metrics for data analysis.
3. The '3dM' methodology aims to create a general framework for quantifying and comparing measures across domains that were previously not comparable.
This document discusses using Visual Data Intelligence (VDI) and 3D metrics as the basis for analyzing and visualizing data across scales from nano to cosmic, in a scale-independent way. Key points include using light as a reference standard rather than the speed of light, complementing SI units with spherical parameters, and allowing independence of physical scale and metrical context through spherical fields and geometric variables. The approach is proposed to provide benefits for analyzing nano-technologies through a new form of 3D metrology.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document summarizes Sabine McNeill's background as a web publisher advocating against child protection policies in the UK that she views as "child snatching". It provides an overview of the various cases and individuals she has highlighted on her website to bring attention to forced adoptions and families impacted by family court decisions. The document also outlines her efforts to educate politicians and the public through online petitions, rallies, and working with other campaigners and advocates calling for reform to the family court system in the UK.
The document discusses challenging the recession by changing the economy through various means. It proposes that we can change the economy and discusses establishing green credit for green purposes to ameliorate climate change. It also discusses establishing a public credit system as an alternative to the current debt-based monetary system and engaging in petitions and meetings to promote this issue.
The document provides statistics on internet and mobile usage from the International Telecommunication Union. It contains two main sections, one on internet statistics and another on mobile statistics. The source for the statistics is listed as the ITU's website on ICT statistics.
1) Artificial intelligence (AI) aims to create intelligent machines that think and act like humans. AI techniques like machine learning and deep learning are used to analyze medical images.
2) Machine learning uses algorithms to analyze data, learn from it, and make decisions. Deep learning is a type of machine learning that can learn from large amounts of unlabeled data.
3) AI shows promise in analyzing medical images to detect diseases, fractures, and cancers. It may help diagnose conditions like pneumonia faster and flag abnormalities to expedite treatment.
Artificial intelligence in medical imaging and radio diagnosticGourav Guwal
The document discusses the growing market for artificial intelligence applications in medical imaging and radio-diagnostics. It outlines how AI is being used for tasks like image processing, disease detection, and aiding physician diagnoses. The market is projected to significantly expand as AI can help analyze large amounts of medical image data and potentially improve outcomes over traditional human review alone.
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...IRJET Journal
This document presents a system for predicting multiple diseases using symptoms and images with fuzzy logic. It discusses:
1. Creating a database by applying fuzzy rules to symptoms and labeled images provided by experts. This is the training phase.
2. Allowing users to enter symptoms or upload images for testing. The system analyzes the inputs using k-means clustering and fuzzy logic to predict the most likely diseases.
3. Experimental results showing the proposed system achieves higher accuracy (90%) and faster prediction times compared to existing methods. It can predict diseases from both symptoms and images to assist patients.
Case Study: Advanced analytics in healthcare using unstructured dataDamo Consulting Inc.
This document summarizes a case study on using unstructured data like images to analyze diabetic retinopathy. Retinal images from half a million patients were analyzed using neural networks and computer vision to detect disease patterns. This automated analysis compressed 50 years of clinical experience into 24 hours to more accurately diagnose patients. The results complemented physician expertise. This case study demonstrates the potential of advanced analytics and large datasets to enhance medical diagnosis using unstructured data like images.
Computer aid in medical instrument term paper PPTKoushik Sarkar
The document discusses various computer-aided medical instruments and technologies. It describes several existing computerized instruments such as X-ray machines, CT scanners, MRI machines, and ECG machines. It also discusses challenges with existing instruments and ongoing research into 3D graphical interfaces for computer-assisted surgery, computer-aided surgery using robotics, direct brain interfaces between humans, and medical apps for Android mobile devices. The document emphasizes how computers and medical technology can help improve diagnosis, aid surgery planning and procedures, and enhance information access for healthcare providers.
Artificial intelligence in healthcare market global trends, market share, ind...Shubham Bhosale
The document discusses the global artificial intelligence in healthcare market. It predicts the market will be worth over $37 billion by 2029, growing at a CAGR of over 50% from 2019 to 2029. The increasing amounts of healthcare data and need for data management is driving adoption of AI. While deep learning and natural language processing show potential, a lack of skilled labor and unclear regulations may impede market growth. The market is segmented by region, technology, offering, end use, and end user.
Inspirata provides a digital pathology solution that automates the pathology workflow and transforms it from analog to digital. Their solution includes high-volume slide scanning, a digital pathology cockpit for viewing and analyzing slides, and integrated image analysis tools. Inspirata has partnered with multiple healthcare organizations to implement their solution and help digitize millions of slides. Their business model transforms capital expenses for healthcare organizations by providing the solution as a managed service.
Slima explainable deep learning using fuzzy logic human ist u fribourg ver 17...Servio Fernando Lima Reina
Servio Fernando Lima Reina is a PhD student researching explainable artificial intelligence (XAI) using deep learning and fuzzy logic. His current research focuses on developing an XAI system to predict and explain skin cancer predictions. The system uses a pretrained convolutional neural network to make predictions, which are then explained using fuzzy logic rules generated from the network. The system has been implemented and can demonstrate predictions and explanations through a web interface. Future work will expand the system to other cancer types and continue developing explainable deep learning techniques.
Biological sciences cancer microscopy and microarray databaseBIT002
VM2M is a web-based application that combines virtual microscopy images and corresponding microarray data for cancer research, allowing researchers to search for tissue samples of interest and access both the whole slide images and microarray data for the same sample. The first version of VM2M was developed for a rhabdomyosarcoma study and currently contains 192 gene expression datasets linked to 146 tissue images.
VIPER is an online pathology review system that provides pathologists from cancer groups with high-quality whole slide images, pathology reports, and review forms for pathology review of cases.
The Biomedical Imaging Team develops digital pathology applications and provides services like pathology imaging, image analysis, and slide conferencing to customers.
1. The document describes a proposed medicine recommendation system that would apply data mining techniques to analyze diagnosis data and provide personalized medication recommendations to reduce medical errors.
2. It would consist of modules for a database, recommendation models, model evaluation, and data visualization. Different recommendation algorithms like SVM, neural networks, and decision trees would be investigated and tested on an open diagnosis data set.
3. The goal is to build an accurate and efficient recommendation framework to help doctors prescribe the right medications, especially for inexperienced doctors and rare diseases, by leveraging patterns found in historical medical records and diagnosis data.
IRJET- IoT based Preventive Crop Disease Model using IP and CNNIRJET Journal
1. The document proposes an IoT-based system using image processing and convolutional neural networks to detect and prevent crop diseases.
2. It involves taking images of crop leaves, extracting features using color filtering and segmentation, training a CNN model on the images, and using the model to identify diseases and provide remedies to farmers.
3. The system aims to help farmers detect diseases early without needing an expert, in order to reduce crop losses and improve agricultural productivity.
Predictions And Analytics In Healthcare: Advancements In Machine LearningIRJET Journal
This document discusses advancements in machine learning and predictive analytics for healthcare. It begins with an introduction discussing how technologies like machine learning and artificial intelligence can help researchers and doctors achieve goals faster when integrated with healthcare. The document then reviews literature on challenges with analyzing big healthcare data due to issues like data variety, speed and volume. It discusses different machine learning algorithms that have been used for disease prediction and diagnosis, including decision trees, random forests, bagging and boosting. The methodology section outlines the use of an ensemble approach, combining multiple models to improve overall accuracy. Technologies implemented in this work include Python libraries like Pandas, NumPy and Scikit-learn for data processing and modeling, along with Flask and AWS for web app deployment. The
Dr. Kamran Sartipi has extensive experience in research and innovation across several fields including software engineering, data analytics, information security, and healthcare informatics. He has published over 100 papers and books on topics such as software system analysis, architecture recovery, decision support systems, and security and privacy in distributed systems. Currently, he is leading two large research projects involving intelligent middleware security, user behavior pattern discovery, and knowledge extraction from medical data across multiple data centers.
“Detection of Diseases using Machine Learning”IRJET Journal
This document describes a machine learning-based disease prediction system. The system was developed as a web application using the Flask framework. It uses logistic regression and random forest classifiers trained on disease-related health parameters to predict diseases. The system allows users to login and submit their health details, generates a prediction report, and stores all user data in a MySQL database for admin access and record keeping. The goal is to help doctors detect diseases earlier and improve healthcare system quality by leveraging machine learning models.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/industry-analysis/video-interviews-demos/vision-opportunities-healthcare-presentation-woodside-capit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Rudy Burger, Managing Partner, and Vini Jolly, Executive Director, both of Woodside Capital Partners, deliver the presentation "Vision Opportunities in Healthcare" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Burger and Jolly outline trends and opportunities in computer vision for healthcare applications.
The progress of latest technologies will drive the therapeutic imaging equipment market. Digital radiography is cannibalizing the analogy segments of both the X-ray imaging and mammography markets, as they provide higher image qualityy and faster scan times
Summary artificial intelligence in practice- part-4GMR Group
American Express uses machine learning to detect credit card fraud and improve the customer experience. Models analyze transaction data and cardholder information to identify suspicious activity within milliseconds. This has saved millions by reducing fraudulent transactions. Elsevier applies AI to medical literature and patient data to generate personalized treatment pathways and improve outcomes. Entrupy develops scanning technologies using computer vision and deep learning to identify counterfeit goods with 98.5% accuracy, helping brands combat the $450 billion counterfeit industry.
The document discusses big data, defining it using the 4 Vs of volume, velocity, variety, and veracity. It describes how the volume of data has grown exponentially in recent years. Tools like Hadoop and Splunk are used to analyze large and diverse datasets in real-time. Examples are given of how big data impacts various industries like healthcare, retail, and more. Industries are now able to gain insights from large amounts of structured and unstructured data to improve areas such as customer service, risk analysis, and personalized medicine.
Advance Diagnostic Tool for Android Devices: A Performance Analyzing Tool for...dbpublications
Abstract— this paper will provide the diagnostic tool solution for the measurement of values with proper units from various signals of Android Device. This application will be used for concluding the signal strength from various Transmitters; Trans receivers of mobile device. This includes GPS Receiver, Acceleration & Gravity Sensor, Rotation Sensor, Magnetic Sensors, Orientation Sensor, Relative Humidity Sensor, Proximity Sensor, Cell Network receivers & Wi-Fi Receiver. This paper provides the diagnostic tool for all the above said components of mobile device with appropriate units.
Similar to The Power of Software Vision - applied to the Science of Cells (20)
This document discusses the concept of a "Digital Renaissance" where data and images can be analyzed and measured to gain insights and intelligence, just as occurred during the original Renaissance period through studying antiquity, nature, the arts and sciences. It provides examples of prominent Renaissance figures like da Vinci and Fibonacci who made discoveries through visualizing and measuring, and describes how a "Smart Knowledge Engine" can perform similar functions in a digital context by generating true color 3D images, measuring digital color brightness, and producing digital 3D metrics to analyze and forecast changes over time. The goal is to create a "Smart Knowledge" space where multi-dimensional data, images, and graphs can be layered and structured numerical data can be precisely measured.
This document introduces the concept of "Digital Colour Brightness" as a new way to quantify and visualize the color content of digital images. It describes Digital Colour Brightness as a numeric RGB value weighted to represent luminance and illuminance, similar to how the human eye perceives color. Digital Colour Brightness values can be visualized in a "True Colour 3D" space and manipulated using sliders to highlight color and texture. This new metric is proposed as a "generic yardstick" that could provide additional insights into pixels, displays, and image content when compared to existing metrics like luminance and illuminance. Contact information is provided for further information.
The document contains a collection of 45 life lessons or quotes on various topics such as relationships, family, happiness, and living in the present moment. Some of the key points expressed are to cherish friends and family as they will support you during difficult times, to forgive others and not waste time holding grudges, and that every day is special so make the most of each moment. The overall message is about finding life's simple pleasures and focusing on what truly matters.
3d Metrics is a UK company that has developed a new measurement theory called "3d Metrology" that applies across scales from nano to macro dimensions. The theory measures qualities in addition to quantities and complements qualification with characterization. 3d Metrics has also created 3dM software for applications like financial forecasting, modeling effects at the photon, atom, molecular and cellular levels across industry sectors, and simulating life processes at different scales. The company argues that the quality of its financial forecasts validates 3d Metrology as a new measurement approach.
This document outlines Sabine McNeill's "3D Approach" to science and technology, which combines high-level concepts with deep structural analyses. It discusses her background and key experiences that led her to develop this approach, including developing various prototypes for "Visual Data Intelligence" and "Visual Modelling Intelligence" software that aims to quantify and model phenomena using light-based qualities and multi-dimensional layering and interpolation. The approach implements a "3D Metrology" framework for measurement and specifies new indicators using spherical modeling and visualization techniques.
This document discusses a proprietary software system that uses expert input and algorithms to analyze complex image and data metrics from various application areas like cell images, nanoparticles, and nanocomposites. The system extracts values and vocabularies from prior experience to help experts analyze images, compare parameters, and provide forecasting through a user portal.
The document discusses software that can provide more detailed and accurate analysis of digital image content. The software re-visualizes digital images so their contents can be examined in more detail. It distinguishes between images and their contents by applying principles that allow new depth in visual 3D. The software generates metric profiles that can quantify image components, compare image objects like cells, and detect things like white blood cells among red blood cells.
This single line document appears to contain a mathematical equation relating the rate of change of mass (m) over time (sec) to something called "3dM Qualities". However, there is no other context or information provided, so a meaningful summary cannot be determined from the limited information given.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
2. The Value
Unfulfilled
Need
Everybody needs this technology in
science and business because it deals
with TIME and NUMBERS better.
Technology With 3 software methods it provides
forecasts, depth, detail & perspectives.
Market The market is big for each of the 3
software methods.
Route to
the market
Software as a Service is the product.
Web presence is already extensive.
3. Sickle cells (anaemia)
Seeing more
about cells
and their
environment
applies to
sickle cells,
stem cells and
red and white
blood cells as
examples.
The offer is to
let you define
what you want
to differentiate
in terms of cell
characteristics.
4. Just one Example
• Image analysis in cytology is underperforming
because humans a poor instruments: lazy, slow
and make mistakes. 3D Metrics solves that.
• 3D Metrics ‘software vision’ is better:
– offers new capabilities and ultimately a fully
automated pre-screening process.
– Competitors don’t have ‘pixel accuracy’.
• It is a multibillion market (cytology / pathology)
and growing.
5. Stem cells
Just as sickle cells,
so can stem cells be
identified:
1. We see more
visual depth and
metric details
2. We see the
difference made by
colour
3. We can provide
you with a new tool
of observation!
6. Cells for Diabetes
• Image analysis in cytology.
– The technology improves productivity through
faster analytical process, automated or semi-
automated tagging of images, intelligent
image search and comparison
– Could be used in medical diagnostics,
clinical trials and biomedical research
– Potential customers: hospitals, clinical trial
consultancies and academics
7. USPs
• 3D Metrics’ unique ‘software vision’ approach
• Complementary to human pattern recognition
capabilities
• Automatically generates metadata
• Enables intelligent image search, comparison and
sharing
• Competitors: CellProfiler, FuzzyFluid, Labman
3.0. 3D Metrics’ unique multidimensional data
analysis algorithms are much more powerful
and add a new level of precision
• The ultimate objective: the fully automated
pre-screening system as ‘on-demand service’!
8. The Market
• Huge Market: US anatomic pathology and
cytology market was estimated by
Washington G-2 Reports to be slightly over
$12 billion in 2006. Growth of 60%
between 2003 and 2006.
• The worldwide market is several times
bigger
• Around 14,000 board-certified pathologists
actively practising in the United States:
potential customers of 3D Metrics’
Software-as-a-Service
9. Route to Market
• Develop software based on 3D Metrics
algorithms in collaboration with ‘domain
experts’, ‘image technologists’ and
‘subject specialists’
• Software-as-a-Service:
– highly scalable, fast and cost-effective
• Deploy it on a commercial infrastructure
• Sell as a ‘web service’ to cytology /
pathology practitioners and researchers on
a pay-as-you-use or subscription basis
10. Definitions
• Cytology is the branch of life science,
which deals with the study of cells in terms
of structure, function and chemistry
• Software Vision – 3D Metrics method that
generates the digital representation of the
image, derives “image metrics” such as
shapes, objects, patterns, colours and
contrasts and analyses this numerical data
to make decisions about grouping images
into collections and sorting, ranking or
selecting them.
11. Input
Images
3dM Digitised Images:
multidimensional graphical
representation of
the original images.
Easy to quantify!
3dM Cytology Vocabulary by
Subject Experts: translates digitised
images into image descriptors and
proprietary quantifiers. For setting
Quality Standards!
3dM Metadata for Computers:
• Image intelligent grouping, sorting and ranking
• Measuring image shapes, patterns and objects
• Selecting, searching and comparing images
• Image identification
The unique
Software Vision
approach
3D Metrics
for Cytology
12. Input
Image
3dM Re-Visualised Image:
multidimensional graphic of
the original image.
Easy to quantify!
3dM Vocabularies:
describe qualities of multi-
dimensional data with
proprietary quantifiers
3dM Metadata:
• Proprietary algorithms
• Protected by ‘black boxing’
• Generic for 3 Software Methods:
•Forecasting Time Series
•Layering Dimensions
•Re-Visualising Images
Smart Knowledge Portals
to ‘Visual’ and ‘Metric’ 3D
3D Metrics