The document describes IB-ASAP (Imaging Biomarkers Automated Structured Assembly Pipeline), a software workflow for quantitative imaging. It aims to improve radiologist workflows by organizing data storage, preparing data, running processing algorithms, managing results, and notifying users. The software is fully automated, vendor independent, and compatible with DICOM standards. It is being used to help quantify and understand cardiovascular remodeling as part of the cvREMOD project and to aid in diagnosis, treatment planning, monitoring and prevention of diseases.
Picture Archival and Communication System [PACS] has evolved continuously over the last two decades. You can read the overview of PACS in this PPT Slides
Recent advances in diagnosis & treatment plsning /certified fixed orthodonti...Indian dental academy
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Picture Archival and Communication System [PACS] has evolved continuously over the last two decades. You can read the overview of PACS in this PPT Slides
Recent advances in diagnosis & treatment plsning /certified fixed orthodonti...Indian dental academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Indian dental academy provides dental crown & Bridge,rotary endodontics,fixed orthodontics,
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Nutopya hypothesis on how to lauch a bioseed investment funds Lyon Valley / Alpes and Burgundy area. Using benchmark of teh Apollo Therapeutics Funds in UK between pharma industry and top Universities.
In this presentation I share the ideas regarding Radiology and AI relation to each other . Its helps to explore more about radiology . Its key advaantage is that u find a detailed knowledge of Radio Imaging and AI at the same platform . If u want to know about the healthcare and research centers where AI is used you also find the collabration among various AI TECHNOLOGY MANUFACTURERS and RESEARCH CENTERS . If you are doing graduation in AI or RADIOLOGY field , it well define your stream . It enhance the workfield arena for radigraphers and how they will increase their job profiles and clearly differntiate them between Robots and AI because most of our assests thought AI in healthcare leads to robotic work but they are totally wrong in this , they need to understand that AI is just going to decrease the work pressure on them . This will not going to take their jobs and our radio imaging machines are only operated by our medical proffesssionalists i.e. our Radiotechnician . It will reduce the waiting time for patients and it increase the job satisfaction for us. As a Radio Imaging student , I try to clear all the doubts regarding the job misconceptiopns in our mind. We must be prgressive , truthful and honest while our job responsibility. AI will help in faster Image Analysis , it helps in Diagnostic accuracy, it also helps in early detection of disease , as it will pre analysize the data from various modalities and make a 3D view of the image form . It leads to increase the patients trust on our healthcaere providers . It helps in unnecessary excessive radiation to the patients , leads to decrease in the risk of radiation related diseases , like skin erethema , skin cancer and skin infections . Yeah.. you also find some challenges regarding smart radiology but by doing proper cincern in your imaging field you will going to solve all the errors in it . We must try to organize short confrence in which we share our views and plans for future innovations and this presentation is small effort towards it. It will also control the quality of your images . This presentation will help you differntiate between the TELEMEDICINE and PACS . I also share the requireds tools and techniques which are using in radiological field . Some of them are - machine learning, deep learning, natural language processing, computer aided detection, image segmentation, 3D- Imaging analysis, automated repoting , radiomics, generative adversial networks . It will show you how AI effects life of Radiographers and Technicians , by stating : efficiency and productivity, workload management , skill enhancement, career evolution, job satisfaction, and patients care, quality assurance. Here , I also share some case studies where AI ia implemented in Radiology, it includes Cleveland Clinic collabration with Zebra Medical Vision , Stanford Medicine use of ARTERYS and UNIVERSITY OF CALIFORNIA , SAN FRANCISCO [ UCSF] and TEMPU . Whereas some challenges in adopting AI in Radiology.
Nutopya hypothesis on how to lauch a bioseed investment funds Lyon Valley / Alpes and Burgundy area. Using benchmark of teh Apollo Therapeutics Funds in UK between pharma industry and top Universities.
In this presentation I share the ideas regarding Radiology and AI relation to each other . Its helps to explore more about radiology . Its key advaantage is that u find a detailed knowledge of Radio Imaging and AI at the same platform . If u want to know about the healthcare and research centers where AI is used you also find the collabration among various AI TECHNOLOGY MANUFACTURERS and RESEARCH CENTERS . If you are doing graduation in AI or RADIOLOGY field , it well define your stream . It enhance the workfield arena for radigraphers and how they will increase their job profiles and clearly differntiate them between Robots and AI because most of our assests thought AI in healthcare leads to robotic work but they are totally wrong in this , they need to understand that AI is just going to decrease the work pressure on them . This will not going to take their jobs and our radio imaging machines are only operated by our medical proffesssionalists i.e. our Radiotechnician . It will reduce the waiting time for patients and it increase the job satisfaction for us. As a Radio Imaging student , I try to clear all the doubts regarding the job misconceptiopns in our mind. We must be prgressive , truthful and honest while our job responsibility. AI will help in faster Image Analysis , it helps in Diagnostic accuracy, it also helps in early detection of disease , as it will pre analysize the data from various modalities and make a 3D view of the image form . It leads to increase the patients trust on our healthcaere providers . It helps in unnecessary excessive radiation to the patients , leads to decrease in the risk of radiation related diseases , like skin erethema , skin cancer and skin infections . Yeah.. you also find some challenges regarding smart radiology but by doing proper cincern in your imaging field you will going to solve all the errors in it . We must try to organize short confrence in which we share our views and plans for future innovations and this presentation is small effort towards it. It will also control the quality of your images . This presentation will help you differntiate between the TELEMEDICINE and PACS . I also share the requireds tools and techniques which are using in radiological field . Some of them are - machine learning, deep learning, natural language processing, computer aided detection, image segmentation, 3D- Imaging analysis, automated repoting , radiomics, generative adversial networks . It will show you how AI effects life of Radiographers and Technicians , by stating : efficiency and productivity, workload management , skill enhancement, career evolution, job satisfaction, and patients care, quality assurance. Here , I also share some case studies where AI ia implemented in Radiology, it includes Cleveland Clinic collabration with Zebra Medical Vision , Stanford Medicine use of ARTERYS and UNIVERSITY OF CALIFORNIA , SAN FRANCISCO [ UCSF] and TEMPU . Whereas some challenges in adopting AI in Radiology.
Биоплазмоника - биочипы для экспресс-диагностики патологий организма и заболе...Dmitriy Filippov
Диагностические устройства на основе эффекта гигантского комбинационного рассеяния света (SERS диагностика ) для анализа молекулярных маркеров патологий в организме (онкологические заболевания, диабет и т.д.).
Высокоточное, быстрое определение уровней гликированных гемоглобинов (HbA1с) и альбуминов (ГлА) в сыворотке крови для диагностики метаболических нарушений в организме (сахарного диабета, почечной недостаточности, гипотиреоза). Возможно расширение области применения: ранняя диагностика онкологических заболеваний, предотвращение угрозы терроризма, распространения опасных и токсичных химических веществ, наркотических веществ, контроль качества сырья.
SERS biochips for express analysis of molecular markers of different diaseses. Quick and presize measurement of HbA1с and albumins in blood serum for diagnosis of diabetes, renal disease, hypothyrosis and cancer.
Basic Medical Imaging Processing and AnalysisKyla De Chavez
Deals with the development of problem specific approaches to enhance the raw medical data for the purpose of selective visualization as well as further analysis.
Medical Imaging Seminar Company PresentationsSpace IDEAS Hub
Medical Imaging - Opportunities for Business Seminar
24/01/12
Short Company Presentations
14 companies took the opportunity to present a short sales pitch of their work and interests to the audience.
Forum on Personalized Medicine: Challenges for the next decadeJoaquin Dopazo
Bioinformatics and Big Data in the era of Personalized Medicine
10th Anniversary Instituto Roche Forum on Personalized Medicine: Challenges for the next decade.
Santiago de Compostela (Spain), September 25th 2014
All medical imaging equipment manufactured today is supposed to conform to the DICOM standards. Viewing of the images thus produced cannot be done by ordinary imaging programs available on a regular PC. A special diagnostic medical imaging program is required, known as a DICOM workstation. For commercial use in medical diagnosis, such diagnostic medical imaging programs need to be FDA approved and need a special license. These measures ensure that any application developed for clinical purposes is capable of accurate depiction of high quality medical images.
Vision
Eigen strives to improve healthcare and quality of life through innovations in image-guided diagnosis and treatment of diseases.
Quality Policy
Eigen provides reliable, competitive and quality products to satisfy our customers with optimum functionality relative to time and cost constraints. We dedicate ourselves to continuous improvement in performance, ease of installation, operation and maintenance.
Similar to Carlos Perez Castillo - Imaging biomarkers automated structured (20)
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
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Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
2. Digital Radiology
• The workspace of radiologists
has changed dramatically with
the development and Engineers
implementation of digital imaging Radiologists
Radiologist’s Workspace Technology
Multidisciplinary collaboration
New workflows
New challenges…
3. Imaging Biomarkers
Objective characteristics extracted from
medical images
Indicators and measures of normal
biological processes, diseases or
responses to therapeutic interventions
Obtained before a lesion or biological
process becomes evident in the
radiological observation, by analyzing
properties and multivariate combination
of medical images and data
Non invasive
8. Prostate: Diffusion
microscopic mobility of tissue water
Healthy tissue Pathological tissue
9. Prostate: Perfusion
Overlay a
vascular
permeability
parametric map
on anatomical
images
10. Prostate: Spectroscopy
Biochemical and metabolic profile of the gland.
Indicators of tumor presence :
-increased choline
- regional reduction in the levels of citrate
12. Workflow Description
DICOM
Organized Data Post- Post- Post-
images and
data storage preparation processing Processing Processing
data reception Notifications
and Algorithms Results Results
classification Execution Management Management
13. IB-ASAP
The developments have provided
an innovative service that follows
an organized process, as a proper
technological support to leverage
the usability and ease the
development and
implementation of quantitative
imaging
In addition, the software is fully
automated, vendor independent
and compatible with DICOM
standards
14. cvREMOD (CENIT-E)
Quantify and understand the
mechanisms of cardiovascular
remodeling, improving the
knowledge of the
pathophysiological mechanisms
Apply new imaging and modeling
technologies
Help with diagnosis
Optimize planning and
personalized treatment decisions
Improve the monitoring and
prevention of future diseases
15. Thank you
Supported by grants from SERAM (Sociedad
Española de Radiología Médica)
The authors also thank the Radiology Department of
Hospital Quirón Valencia for their help and
continuous support with image acquisition and for
the clinical validation