There is an observability gap - literally a black hole in our ability to see, understand and monitor our clinical data. In clinical R&D, the observability gap is responsible for delays in clinical trials of 6-18 months.
A trillion $/year life science industry still relies on manual data processing for R&D. This manual work delays cures for patients, revenue for companies and competitive advantage.
10 days in Corona time is 20,000 lives.
Every day counts.
From Edge Case to Main Case, Michelle Longmire of Medable_mHealth IsraelLevi Shapiro
Presentation by Michelle Longmire, CEO of Medable, April 20, 2021, for mHealth Israel. During CoVID, as physical access to clinics was limited, Medable enabled patients to continue participating in critical research efforts. Medable Supporting over 100 Studies Across a Diverse Array of Therapeutic Areas. Medable provides a platform for seamless evidence
generation, across the entire patient journey. Connecting patients globally for community, care, and research. Improve patient experience and retention. Reduce site burden. Data Cloud & Platform should be flexible and modular to enable protocol-fit digital. Medable Digitome, for data driven decentralized trials and a new era of understanding patients, therapies, and conditions. Clinical research is a small component of the broader healthcare journey. Enable health data and evidence generation from clinical to commercial, from day one. Continuous health data & evidence from clinical to commercial and beyond. The Digitome can provide a
primary observational protocol that collects large scale baseline data in a framework that enables streamlined recruitment, enrollment, and participation into interventional clinical substudies.
This Slide talks about Apple's ResearchKit which is an open source framework introduced by Apple that allows researchers and developers to create powerful apps for medical research
Matteo Crippa: ResearchKit: an open source framework by Apple for medical re...Mobile Trends
Matteo Crippa - ResearchKit - an open source framework by Apple for medical research.
During early 2015 Apple has released an awesome open source framework to allow researchers and developers to create powerful apps for medical research and clinical trials. Are you ready to improve the framework with a pull request and help other people’s life?
Decentralized Trials in the Digital Era: “Rethinking Hybrid”Craig Lipset
Presentation at Society for Clinical Data Management - India meeting on 27 June 2020.
Addresses the past and the future of decentralized clinical trials.
HxRefactored 2015: Drew Schiller "Beyond the Bracelet"HxRefactored
Drew Schiller, Co-founder & CTO of Validic discusses changes in healthcare as a result of the wearable movement which enables patients to take a more active role in their own healthcare.
mHealth Israel_Growth Opportunities in Clinical Trial Execution_Craig LipsetLevi Shapiro
Craig Lipsent, former Worldwide Head of Clinical Innovation at Pfizer, presents to the mHealth Israel Community, Feb, 2020. Theme: Clinical trials are vital for developing new medicines but they are broken. Clinical trial trends include the increasing attention and investment in participant & investigator experience
Digitization and innovative data capture. Forecast for clinical trials will be decentralized, distributed, democratized and disruptive.
From Edge Case to Main Case, Michelle Longmire of Medable_mHealth IsraelLevi Shapiro
Presentation by Michelle Longmire, CEO of Medable, April 20, 2021, for mHealth Israel. During CoVID, as physical access to clinics was limited, Medable enabled patients to continue participating in critical research efforts. Medable Supporting over 100 Studies Across a Diverse Array of Therapeutic Areas. Medable provides a platform for seamless evidence
generation, across the entire patient journey. Connecting patients globally for community, care, and research. Improve patient experience and retention. Reduce site burden. Data Cloud & Platform should be flexible and modular to enable protocol-fit digital. Medable Digitome, for data driven decentralized trials and a new era of understanding patients, therapies, and conditions. Clinical research is a small component of the broader healthcare journey. Enable health data and evidence generation from clinical to commercial, from day one. Continuous health data & evidence from clinical to commercial and beyond. The Digitome can provide a
primary observational protocol that collects large scale baseline data in a framework that enables streamlined recruitment, enrollment, and participation into interventional clinical substudies.
This Slide talks about Apple's ResearchKit which is an open source framework introduced by Apple that allows researchers and developers to create powerful apps for medical research
Matteo Crippa: ResearchKit: an open source framework by Apple for medical re...Mobile Trends
Matteo Crippa - ResearchKit - an open source framework by Apple for medical research.
During early 2015 Apple has released an awesome open source framework to allow researchers and developers to create powerful apps for medical research and clinical trials. Are you ready to improve the framework with a pull request and help other people’s life?
Decentralized Trials in the Digital Era: “Rethinking Hybrid”Craig Lipset
Presentation at Society for Clinical Data Management - India meeting on 27 June 2020.
Addresses the past and the future of decentralized clinical trials.
HxRefactored 2015: Drew Schiller "Beyond the Bracelet"HxRefactored
Drew Schiller, Co-founder & CTO of Validic discusses changes in healthcare as a result of the wearable movement which enables patients to take a more active role in their own healthcare.
mHealth Israel_Growth Opportunities in Clinical Trial Execution_Craig LipsetLevi Shapiro
Craig Lipsent, former Worldwide Head of Clinical Innovation at Pfizer, presents to the mHealth Israel Community, Feb, 2020. Theme: Clinical trials are vital for developing new medicines but they are broken. Clinical trial trends include the increasing attention and investment in participant & investigator experience
Digitization and innovative data capture. Forecast for clinical trials will be decentralized, distributed, democratized and disruptive.
Pathways for patient facing apps using ResearchKit, HealthKit and CareKitMobisoft Infotech LLC
Technology now can manage healthcare and medical apps development from academic research clinical trials to care coordination from service providers. Tools from Apple, Google, Samsung will be intrinsic part of development process. Researchers can facilitate academic or pre-commercial clinical trials using ResearchKit by Apple or less-known ResearchStack by Google. Healthcare Startups can take advantage of HealthKit and Google Fit repositories on your mobile devices. Finally, services provider can utilize CareKit to manage treatment and coordinate care plans with patients.
Medical research rebuilt_retooled_and_rebootedRadhika Nagare
Medical Research: Rebuilt, Retooled and Rebooted An early stage mobile medical device company developing a human-centered suite of consumer products using science and technology to empower everyday people to monitor and better understand their own health—anytime, anywhere.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
Accelerate and Integrate Digital Health InnovationJohn Reites
4 strategies to influence and execute digital health approaches. Presented on 23 Mar 2016 by John Reites at the Data 4 Decisions Conference in Raleigh, NC.
HXR 2016: Working with Cloud-based Programs - Aaron Moronez, AthenaHealthHxRefactored
Cloud-computing has opened up a world of possibilities in the health care arena by offering more efficient and affordable solutions for data access, storage, sharing, and management. Leading companies give examples of how their cloud-based solutions are solving some of today’s biggest problems in health care and helping companies overcome common barriers in the transition to cloud-based technology.
Growth Opportunities for Entrepreneurs in Clinical Research ServicesCraig Lipset
Presentation by Craig Lipset for mHealth Israel on February 12 2020 hosted at Google Tel Aviv.
This talk reviews current challenges and trends in clinical trials today, followed by a forecast for trials will be impacted by decentralization, distribution, democratization, and disruption.
The presentation concludes with some considerations for entrepreneurs seeking to grow new solutions for clinical trials.
Workplace Wellness Goes Digital: Digital Health Technology Means Better Engag...Validic
Historically, some of challenges for corporate wellness programs have been relying on participant's manual tracking and predominantly self reported data. This data may not be entirely accurate or truthful. Additional challenges for these programs include retaining and engaging participants to generate positive health outcomes and behavior change.
Sleep. Diet. Physical Activity. Even Stress. Today, there are digital health devices and applications to track and monitor all of these critical components of a healthy lifestyle. Technology can now provide a holistic view of a patient's health, nutrition and physical activity. And, solutions like Validic are providing a frictionless data exchange that makes it significantly easier for employer groups and wellness companies to consume this participant information and put it to meaningful use.
Integrating digital health data enables employer groups and wellness companies to focus on building robust technology solutions for behavior change, participant engagement and health improvement.
18 Interesting Health Technology StartupsGary Monk
An overview of 18 interesting health technology startups. Some are more successful than others, some are in a relatively crowded space. Slides contain an overview and insights into these emerging healthtech companies
NIH NSF Digital Clinical Trials Workshop 02Apr2019 [Lipset]Craig Lipset
Presentation by Craig Lipset at the NIH / NSF "Digital Clinical Trials Workshop" on April 2 2019 in Bethesda MD.
https://www.nhlbi.nih.gov/events/2019/digital-clinical-trials-workshop-creating-vision-future
This presentation details two key themes for digital in medicine development as well as a range of incremental areas where digital is impacting clinical trials today.
Flaskdata.io automated monitoring for clinical trialsFlaskdata.io
In the race to deliver a COVID-19 vaccine, technology can be used to automate patient safety monitoring and assure that patients and physicians have valid data in order to make good decisions regarding risks and benefits.
Pathways for patient facing apps using ResearchKit, HealthKit and CareKitMobisoft Infotech LLC
Technology now can manage healthcare and medical apps development from academic research clinical trials to care coordination from service providers. Tools from Apple, Google, Samsung will be intrinsic part of development process. Researchers can facilitate academic or pre-commercial clinical trials using ResearchKit by Apple or less-known ResearchStack by Google. Healthcare Startups can take advantage of HealthKit and Google Fit repositories on your mobile devices. Finally, services provider can utilize CareKit to manage treatment and coordinate care plans with patients.
Medical research rebuilt_retooled_and_rebootedRadhika Nagare
Medical Research: Rebuilt, Retooled and Rebooted An early stage mobile medical device company developing a human-centered suite of consumer products using science and technology to empower everyday people to monitor and better understand their own health—anytime, anywhere.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
Accelerate and Integrate Digital Health InnovationJohn Reites
4 strategies to influence and execute digital health approaches. Presented on 23 Mar 2016 by John Reites at the Data 4 Decisions Conference in Raleigh, NC.
HXR 2016: Working with Cloud-based Programs - Aaron Moronez, AthenaHealthHxRefactored
Cloud-computing has opened up a world of possibilities in the health care arena by offering more efficient and affordable solutions for data access, storage, sharing, and management. Leading companies give examples of how their cloud-based solutions are solving some of today’s biggest problems in health care and helping companies overcome common barriers in the transition to cloud-based technology.
Growth Opportunities for Entrepreneurs in Clinical Research ServicesCraig Lipset
Presentation by Craig Lipset for mHealth Israel on February 12 2020 hosted at Google Tel Aviv.
This talk reviews current challenges and trends in clinical trials today, followed by a forecast for trials will be impacted by decentralization, distribution, democratization, and disruption.
The presentation concludes with some considerations for entrepreneurs seeking to grow new solutions for clinical trials.
Workplace Wellness Goes Digital: Digital Health Technology Means Better Engag...Validic
Historically, some of challenges for corporate wellness programs have been relying on participant's manual tracking and predominantly self reported data. This data may not be entirely accurate or truthful. Additional challenges for these programs include retaining and engaging participants to generate positive health outcomes and behavior change.
Sleep. Diet. Physical Activity. Even Stress. Today, there are digital health devices and applications to track and monitor all of these critical components of a healthy lifestyle. Technology can now provide a holistic view of a patient's health, nutrition and physical activity. And, solutions like Validic are providing a frictionless data exchange that makes it significantly easier for employer groups and wellness companies to consume this participant information and put it to meaningful use.
Integrating digital health data enables employer groups and wellness companies to focus on building robust technology solutions for behavior change, participant engagement and health improvement.
18 Interesting Health Technology StartupsGary Monk
An overview of 18 interesting health technology startups. Some are more successful than others, some are in a relatively crowded space. Slides contain an overview and insights into these emerging healthtech companies
NIH NSF Digital Clinical Trials Workshop 02Apr2019 [Lipset]Craig Lipset
Presentation by Craig Lipset at the NIH / NSF "Digital Clinical Trials Workshop" on April 2 2019 in Bethesda MD.
https://www.nhlbi.nih.gov/events/2019/digital-clinical-trials-workshop-creating-vision-future
This presentation details two key themes for digital in medicine development as well as a range of incremental areas where digital is impacting clinical trials today.
Flaskdata.io automated monitoring for clinical trialsFlaskdata.io
In the race to deliver a COVID-19 vaccine, technology can be used to automate patient safety monitoring and assure that patients and physicians have valid data in order to make good decisions regarding risks and benefits.
mHealth Israel_Anne LeGrand_IBM Watson_Big Data in HealthcareLevi Shapiro
Presentation by Anne LeGrand, VP Imaging, IBM Watson HEALTH: Big Data in Healthcare. Includes a future with AI; Industry Challenges; Natural Language Processing; Deep Learning; Make the Invisible, Visible; Accelerating the Pace of Drug Discovery; Become a Trusted Advisor; Treatment Recommendations by Cognitive Computing; Derive Actionable Insights; Managing Care and Improving Lives; Identifying Outcomes of Precision Cohorts; Diabetes; Medical Imaging; Market Size; AI Value; Imaging AI Market; How to Set Priorities; Safety Net; Global Issues; Watson Health Imaging Strategy; Maturity Curve; Precision Medicine; Watson Imaging Clinical Review; Key Principles;
Roundup of This Year's AACC Meeting in AtlantaBruce Carlson
The American Association of Clinical Chemistry was held this year in Atlanta, GA. Kalorama was at the meeting and notes several developments, with a particular focus on point-of-care.
Artificial Intelligence in PharmacovigilanceClinosolIndia
The integration of Artificial Intelligence (AI) into pharmacovigilance has emerged as a transformative force, revolutionizing the monitoring and assessment of drug safety. This article provides a comprehensive overview of the application of AI in pharmacovigilance, elucidating its impact on the identification, evaluation, and management of adverse drug reactions (ADRs). AI-driven algorithms, machine learning, and natural language processing empower automated signal detection, enabling more efficient and proactive risk assessment. The review explores the utilization of AI in mining diverse data sources, including electronic health records, social media, and scientific literature, to enhance the sensitivity and specificity of ADR detection. Additionally, the article delves into the role of AI in streamlining case processing, automating data validation, and facilitating trend analysis, thereby optimizing the pharmacovigilance workflow. Challenges, such as data quality and interpretability of AI-generated insights, are critically examined, alongside ongoing efforts to address these concerns. The regulatory landscape and the incorporation of AI technologies into pharmacovigilance guidelines are discussed, highlighting the evolving framework for ensuring patient safety. As AI continues to evolve, its synergy with traditional pharmacovigilance practices opens new avenues for enhanced surveillance and proactive risk management in the dynamic field of drug safety.
Producing Better and Affordable Healthcare Services Using Computational Intel...EMMAIntl
Computational Intelligence (CI) is one of the major pillars of Artificial Intelligence. It is the study, design, and development of intelligent software based on the theory of evolution. Within the past decade, healthcare has become expensive. Also, with the declining doctor-patient ratio, there are constant needs for computing systems for everything from executing simple tasks, such as booking appointments, to major services such as consulting and diagnosis...
Semantic Technology for Provider-Payer-Pharma Data CollaborationThomas Kelly, PMP
Semantic Technology for Provider-Payer-Pharma Cross-Industry Data Collaboration
Building Intelligent Health Data Integration
The cost to cover the typical family of four under an employer health insurance plan is expected to top
$20,000 this year. The integration of health data (including electronic health records, health insurer records, pharma research and clinical data, and real-world evidence) will increase transparency and efficiency, improve individual and population health outcomes, and expand the ability to study and improve quality of care.
Traditional approaches to data integration and analytics depend on widely understood data and well-defined use cases for analyzing that data. The integration of pharma, provider, payer, and real-world data will identify new ways in which health data can be combined and analyzed to improve quality of care. Semantic technology can speed integration of health data, while supporting an evolutionary approach to developing and leveraging expertise.
Similar to Flaskdata - Observability for clinical data (20)
The travel industry does real-time. Why doesn't clinical research?Flaskdata.io
The travel industry was doing online transaction processing with the IBM iPARS system over 40 years ago. Why does the $60BN clinical research industry insist on retaining a paper paradigm and inventing technology to tell people which piece of paper to review?
Practical security - access control, least privilege, cryptography at work, security attacks and pen testing your system with MetaSploit. The enemy knows the system. Not security by obscurity
The insights that will help your medtech clinical trial succeedFlaskdata.io
Clinical trial monitoring uses a model that was set in the early 50s of the previous century. It is still highly oriented to pharma studies where patients visit sites. But for mobile medical apps and connected mobile devices - patients use the device at home and on-the-go. How do you succeed in monitoring a medtech clinical trial where the patients are in a near-real-life scenario?
Quick user guide to the Clear Clinica Cloud EDC systemFlaskdata.io
This is a short presentation that describes how to use the ClinCapture EDC system running in the Clear Clinica cloud. It assumes a general familiarity with electronic data capture in clinical trials. You will need access to a training instance in the Clear Clinica cloud
Cyber security is not safety.
I've updated a talk I gave in 2010 to include the latest FDA guidance on mobile devices and cyber security. But really nothing has changed since then. Medical device vendors are still grappling with the notion that cyber security involves a complex, interconnected, rapidly changing landscape of vulnerabilities, threats, zero-day exploits, software security issues that does not fit the slow-moving pre-market approval and static risk analysis that FDA uses for safety.
In this presentation we show how to use a practical threat analysis methodology and present real-life examples of how to build a prioritized, cost-effective security countermeasure plan.
So - guess what? Safety is not cyber security!
Managing cyber security for medical devices is a challenge for medical device vendors and regulatory consultants who are accustomed to estimating patient safety risk without having to explain and understand a complex, rapidly changing and interconnected environment of vulnerabilities, attackers, attacker entry points and zero-day threats.
In this updated version of a talk I gave 5 years ago - I show how to use threat modeling in order to provide a prioritized security countermeasure plan that will cost the medical device vendor the least amount of money and save him the grief of trying to deal with cyber threats in his safety risk analysis.
Pathcare is a private social network for a doctor and his patients. It provides 10x efficiency of social software versus email, provides the doctor with emotional/vital sign state of patients
Summary
The GRC (governance, risk and compliance) market is driven by three factors: government regulation such as Sarbanes-Oxley, industry compliance such as PCI DSS 1.2 and growing numbers of data security breaches and Internet acceptable usage violations in the workplace. $14BN a year is spent in the US alone on corporate-governance-related IT spending1.
Are large internally-focused GRC systems the solution for improving risk and compliance? Or should we go outside the organization to look for risks we’ve never thought about and discover new links and interdependencies2.
This article introduces a practical approach that will help the CISOs/CSOs in any sized business unit successfully improve compliance and reduce information value at risk. We call this approach “The Tao of GRC” and base it on 3 principles.
1. Adopt a standard language of threats
2. Learn to speak the language fluently
3. Go green – recycle your risk and compliance
Will Web 2.0 applications break the cloud?Flaskdata.io
Computing in the cloud is fashionable and in many cases extremely cost-effective. But - considering a flawed execution model of rich Web 2.0 applications - will Web applications in the cloud fail to live up to the promise due to performance and security issues?
In this presentation - I discuss security and performance issues of Web 2.0 apps in the cloud and talk about the kind of mistakes people make.
I wrap up with some thoughts on the game changers
Killed by code - mobile medical devicesFlaskdata.io
There is a perfect storm of consumer electronics, mobile communications and customer need - the need to help people manage chronic disease like Parkinson, diabetes and MSA and sustain life with pacemakers and ICDs
Data Security For SMB - Fly first class on a budgetFlaskdata.io
In the Data security for an SMB workshop we will show business and IT managers how to deal with threats of porn, blogging, music/video downloads and data leakage. We will demonstrate how firewalls and anti-virus don’t prevent data leakage and present practical ways of preventing data loss.
Data Security Metricsa Value Based ApproachFlaskdata.io
In this Security management workshop, we introduce finance and business unit managers to a value-based approach for reducing security costs and minimizing Value at Risk
Homeland Security - strengthening the weakest linkFlaskdata.io
In the Data security at home workshop we will discuss what happens when files come home and when removable devices and notebooks owned by your employees go to work. We will help clarify the threats and understand the issues of home (land) security and how to get your employees to practice what your preach
In this Security technology workshop designed specially for senior IT and business line executives, we will show you how to navigate the “valley of death” of the complex sale of enterprise information protection and make or break the business justification with your management board. Through specific Business Threat Modeling(TM) tactical methods we will show you how to discover current data loss violations, quantify threats and valuate your risk in order to select the most cost-effective security technologies to protect your enterprise information.
Writing An Effective Security Procedure in 2 pages or less and make it stickFlaskdata.io
In this Security management workshop we will discuss the Oral Law and the Written Law: The good, bad and ugly of procedures. We will show you how to write an effective data security procedure in 2 pages or less and make it stick
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
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
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
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
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.
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
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
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.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
2. Source: FDA Performance goals, Deloitte 2020 Global life sciences outlook, “Why clinical trial outcomes fail to translate into benefits for patients”, Heneghan et al
Summer 2016. A WTF moment.
19%
Of clinical trials miss
their endpoints.
R&D failure.
Collect | Detect | Act
6-18
Months delay
to market
Pivotal study
Paper & briefcase
No data monitoring
Manual data cleanup - 6 months
1MB data
#corona-time
3. Observability problem in clinical data
Collect | Detect | Act
Data Events
Observability gap
Hours Months
6-18
Valid data?
Custom solutions
China, India, USA - 294M wearable devices, 27% YOY
4. Collect | Detect | Act
Our key value proposition
Data Events
Automated detect & act on clinical data
1
Now
isAnomaly: ’t'
#observe-clinical-data
Zero-admin clinical data anomaly detection in an open API
5. Collect | Detect | Act
1
Act
Detect
Collect
2
3
Data
anywhere,
anytime
AI-driven
event
detection
Same day
response
Same day delivery
#coronatime
7. Collect | Detect | Act
The ratio of compliance with the protocol is
extremely high, and with the real-time alerts, we
fix patient issues in a ‘short-loop’.
This is a wonderful feature, and it makes the
difference between a futile study and a
successful one”.
Alon Ironi
CEO, Theranica Therapeutics
Remote electrical neuromodulation (REN) in the acute treatment of migraine: a comparison with usual care and acute migraine medications.
Rapoport et al. The Journal of Headache and Pain.
Migraine treatment case study
5M patient/device signals
NCT03361423
253 patients
95% compliance
5’ to endpoints (1)
(1) 95% of patient data from migraine sessions is collected digitally from handset via BLE from wearable device and transmitted via Flask API to the Flask platform.
A second API process on the platform computes endpoints like Photophobia and updates the EDC within 5’ after patient reports outcomes.
8. Collect | Detect | Act
CHF case study
Pickup payer data
Collect | Detect
Anomalies
647
Signals
3.1K
9. Observability for the world of IOB
• Unsupervised anomaly detectionOne size
Fits all • Affordable for connected device market
• OpenAPI
10. Collect | Detect | Act
Our TAM
Identified segments
Market data sources:
1. Statista
USA
16%
India
27%
China
57%
$5BN Internet of Bodies (IOB)
observability market
100
733.333
1366.667
2000
2020 2021 2022 2023
1,403
1,105
929
835
Worldwide connected wearable devices
(millions)
Assumption: $3/endpoint/year
11. Collect | Detect | Act
Jenya Konikov-Rozenman
Co-founder. Delivery
Duchenne researcher
Danny Lieberman
Founder. CEO
Physicist & Serial entrepreneur
Eugene Kalosha
Architect
PhD AI Research
Rivka Rot
Data pipeline
Fraud & big data
Dr Dan Peres
Co-founder. Product
Medical & clinical
Why us?