World DNA Day and Genome Day, Dalian China 2011
"Possible Solution for Managing the Worlds Genetic Data" given by Alice Rathjen, Founder & President DNA Guide, Inc.
Proposes genetic tests be given a rating for quality of science, medical utility and viewing risk so as to facilitate the flow of genetic information in a responsible manner from the lab to the physician and patient. Explains how technology combined with public policy could enable both privacy and personalized medicine to thrive. Advocates individual ownership over personal genetic data and suggests the genome as a data format could provide the foundation for digital human rights.
tags: DNA, genetic testing, privacy, personalized medicine, FDA regulation
Biological Domains - The Internet of Human Beings as the New Big DataDNA Compass
Describes how patient genetic data will cause health records to evolve into biological domains. Suggests genomes could disrupt current information flows on the web - with human beings moving from user accounts to nodes on the network with real time consent.
Suggested solution for navigating genetic data regulation, privacy and ease of use. DNA Guide, Inc.
Mobile platform for visual map of personal genetic data.
DNA Guide - Tech Summary Mapping Genomes w GISDNA Compass
Genetic Testing, DNA Guide, Genome Mapping, Privacy, GIS, Personalized Medicine, Health IT, GIS, ESRI, Gene Patents, Big Data, Molecular Diagnostics, Alice Rathjen, Mike Hargreaves, Electronic Health Records, Next Generation Sequencing, Point of Care, iPAD, Mobile
Self Organizing Genomes with Real Time Consent - DNA GuideDNA Compass
Advocates for self organizing genomes with real time consent . Pattern in evolution of digital humanity is aspect of life gets digitized and once it's affordable a platform emerges that allows people to:
1. Upload their data
2. Control who they share it with.
Describes a personal biological domain model that allows for industry integration based on individual ownership of raw genetic data.
Biological Domains - The Internet of Human Beings as the New Big DataDNA Compass
Describes how patient genetic data will cause health records to evolve into biological domains. Suggests genomes could disrupt current information flows on the web - with human beings moving from user accounts to nodes on the network with real time consent.
Suggested solution for navigating genetic data regulation, privacy and ease of use. DNA Guide, Inc.
Mobile platform for visual map of personal genetic data.
DNA Guide - Tech Summary Mapping Genomes w GISDNA Compass
Genetic Testing, DNA Guide, Genome Mapping, Privacy, GIS, Personalized Medicine, Health IT, GIS, ESRI, Gene Patents, Big Data, Molecular Diagnostics, Alice Rathjen, Mike Hargreaves, Electronic Health Records, Next Generation Sequencing, Point of Care, iPAD, Mobile
Self Organizing Genomes with Real Time Consent - DNA GuideDNA Compass
Advocates for self organizing genomes with real time consent . Pattern in evolution of digital humanity is aspect of life gets digitized and once it's affordable a platform emerges that allows people to:
1. Upload their data
2. Control who they share it with.
Describes a personal biological domain model that allows for industry integration based on individual ownership of raw genetic data.
3 Round Stones at the New England Health Datapalooza Oct 3, 20123 Round Stones
3 Round Stones' co-founder Bernadette Hyland discusses a new mobile application that uses federal open government data about weather and healthcare to improve management of chronic health conditions including asthma and COPD.
Bringing scientists to data to accelerate discoveries and improve human healt...Sri Ambati
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video:
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://twitter.com/h2oai.
- - -
Data sharing is fraught with privacy concerns in the biomedical domain. How do we develop insights if data silos are our reality? Stanford is undertaking a “data commons on steroids” approach with a goal to “free the scientist” and make insight sharing possible across the data silos.
Somalee is a computational physicist by training, a biotechnologist by profession and a data analyst by the way of passion. She believes that with the explosion of data in healthcare and with new methods to analyze such large amounts of data, we will see massive changes in how human diseases are addressed via novel drugs, large-scale genomics, wearable sensors, and software to tie it all together. She wants to drive part of this revolution.
Healthcare is changing rapidly. It is clear that humans need mechanisms to automate some parts of data processing and help humans in decision making. This talk will concentrate on how to improve the machine understanding of unstructured data.
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
As the author of “Big Data in Healthcare Hype and Hope,” Dr. Feldman has interviewed over 180 emerging tech and healthcare companies, always asking, “How can your new approach help patients?” Her research shows that data, as an enabling tool, has the power to give us critical new insights into not only what causes disease, but what comprises normal. Despite this promise, few patients have reaped the benefits of personalized medicine. A panel of leading big data innovators will discuss the evolving health data ecosystem and how big data is being leveraged for research, discovery, clinical trials, genomics, and cancer care. Case studies and real-life examples of what’s working, what’s not working, and how we can help speed up progress to get patients the right care at the right time will be explored and debated.
• Bonnie Feldman, DDS, MBA - Chief Growth Officer, @DrBonnie360
• Colin Hill - CEO, GNS Healthcare
• Jonathan Hirsch - Founder & President, Syapse
• Andrew Kasarskis, PhD - Co-Director, Icahn Institute for Genomics & Multiscale Biology; Associate Professor, Genetics & Genomic Studies, Icaahn School of Medicine at Mt. Sinai
• William King - CEO, Zephyr Health
New York eHealth Collaborative Digital Health Conference
November 18, 2014
Slides from Spectra Logic’s inaugural BlackPearl Developer Summit, a virtual conference for current and potential Spectra Logic developers. You’ll get product updates from our CEO and BlackPearl product manager, and you will learn how these new features will help customers and developers. You will learn how to build a Spectra S3 client for BlackPearl, our private cloud gateway to our tape and disk storage systems. You will see how one of our partners developed a client and watch it in action. And you will get to ask questions to our BlackPearl Engineering team. Watch the Summit recording at https://www.youtube.com/watch?v=GYoSwrvhVM0
It's the end of the world as we know it, and i feel fineMartin Hamilton
Slides from my closing keynote for the Talis Insight Europe 2016 conference. In this talk I cover global warming and other "extinction level events", and how we might go about preserving the core of human knowledge and culture in an offplanet backup. I show how future technologies like interstellar travel and DNA based data storage are complemented by here and now technologies like cubesats/nanosats and the likes of Project Gutenberg and Wikipedia. All of this is a metaphor for how we should "think big", and looking at the changing role of the librarian.
3 Round Stones at the New England Health Datapalooza Oct 3, 20123 Round Stones
3 Round Stones' co-founder Bernadette Hyland discusses a new mobile application that uses federal open government data about weather and healthcare to improve management of chronic health conditions including asthma and COPD.
Bringing scientists to data to accelerate discoveries and improve human healt...Sri Ambati
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video:
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://twitter.com/h2oai.
- - -
Data sharing is fraught with privacy concerns in the biomedical domain. How do we develop insights if data silos are our reality? Stanford is undertaking a “data commons on steroids” approach with a goal to “free the scientist” and make insight sharing possible across the data silos.
Somalee is a computational physicist by training, a biotechnologist by profession and a data analyst by the way of passion. She believes that with the explosion of data in healthcare and with new methods to analyze such large amounts of data, we will see massive changes in how human diseases are addressed via novel drugs, large-scale genomics, wearable sensors, and software to tie it all together. She wants to drive part of this revolution.
Healthcare is changing rapidly. It is clear that humans need mechanisms to automate some parts of data processing and help humans in decision making. This talk will concentrate on how to improve the machine understanding of unstructured data.
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
As the author of “Big Data in Healthcare Hype and Hope,” Dr. Feldman has interviewed over 180 emerging tech and healthcare companies, always asking, “How can your new approach help patients?” Her research shows that data, as an enabling tool, has the power to give us critical new insights into not only what causes disease, but what comprises normal. Despite this promise, few patients have reaped the benefits of personalized medicine. A panel of leading big data innovators will discuss the evolving health data ecosystem and how big data is being leveraged for research, discovery, clinical trials, genomics, and cancer care. Case studies and real-life examples of what’s working, what’s not working, and how we can help speed up progress to get patients the right care at the right time will be explored and debated.
• Bonnie Feldman, DDS, MBA - Chief Growth Officer, @DrBonnie360
• Colin Hill - CEO, GNS Healthcare
• Jonathan Hirsch - Founder & President, Syapse
• Andrew Kasarskis, PhD - Co-Director, Icahn Institute for Genomics & Multiscale Biology; Associate Professor, Genetics & Genomic Studies, Icaahn School of Medicine at Mt. Sinai
• William King - CEO, Zephyr Health
New York eHealth Collaborative Digital Health Conference
November 18, 2014
Slides from Spectra Logic’s inaugural BlackPearl Developer Summit, a virtual conference for current and potential Spectra Logic developers. You’ll get product updates from our CEO and BlackPearl product manager, and you will learn how these new features will help customers and developers. You will learn how to build a Spectra S3 client for BlackPearl, our private cloud gateway to our tape and disk storage systems. You will see how one of our partners developed a client and watch it in action. And you will get to ask questions to our BlackPearl Engineering team. Watch the Summit recording at https://www.youtube.com/watch?v=GYoSwrvhVM0
It's the end of the world as we know it, and i feel fineMartin Hamilton
Slides from my closing keynote for the Talis Insight Europe 2016 conference. In this talk I cover global warming and other "extinction level events", and how we might go about preserving the core of human knowledge and culture in an offplanet backup. I show how future technologies like interstellar travel and DNA based data storage are complemented by here and now technologies like cubesats/nanosats and the likes of Project Gutenberg and Wikipedia. All of this is a metaphor for how we should "think big", and looking at the changing role of the librarian.
Digital DNA. Digital Is Here. India Online Marketing Trends 2015 ResellerClub
Managing Director and Co-Founder of Octane.in, Punit Modhgil talks to us about the trends the online Indian market is going to see in the coming year & what this means for Indian marketers.
How new economic forces shape the competitive landscape.
The laws of Moore and Metcalf have changed our world at its core. Deregularization, digitalization, globalization and socialization supersede what we learned at school. This presentation shows why copies can be better than originals, why giving away is sometimes is better than getting paid, why small is often better than big and why companies are no longer in control. You will also see why you should care about all these tendencies of the digital age in order to keep your bottom-line black.
Ion Torrent™ Next Generation Sequencing-Oncomine™ Lung cfDNA assay detected 0...Thermo Fisher Scientific
Study of genetic Information from cell-free (cf) DNA provide valuable opportunities in cancer research and potentially impact future oncology. As an example, liquid biopsy provide a non-invasive and cost effective solution for future compared to traditional biopsy tests. Here we report the application of research based Ion Torrent™ next-generation sequencing (NGS) Oncomine™ cfDNA assays and associated workflow, which is developed to detect somatic variants at low frequency of 0.1% in cfDNA from plasma.
Digital DNA-seq Technology: Targeted Enrichment for Cancer ResearchQIAGEN
Targeted DNA sequencing has become a powerful approach by achieving high coverage of the region of interest while keeping the cost of sequencing and complexity of data interpretation manageable. However, existing PCR-based target enrichment approaches introduce errors due to PCR amplification bias and artifacts, which significantly affects quantification accuracy and limit the ability to confidently detect low-frequency DNA variants. This webinar introduces a new digital sequencing approach that is based on the use of unique molecular indices (UMIs) - QIAseq Targeted DNA Panels. With UMIs, each unique DNA molecule is barcoded before any amplification takes place to correct for PCR errors. Detailed workflow and applications in cancer research will be presented. Join us and learn about this exciting novel digital DNAseq technology
Benefits of Big Data in Health Care A Revolutionijtsrd
Lifespan of a normal human is increasing with the world population and it produces new challenge in health care. big data change the method of data management ,leverage data and analyzing data.with the help of big data we can reduces the costs of treatment, reducing medication and provide better treatment with predictive analytics. Health related data collected from various sources like electronic health record EHR ,medical imaging system, genomic sequencing, pay of records, pharmaceutical research , and medical devices, etc. are refers to as big data in healthcare. Dr. Ritushree Narayan ""Benefits of Big Data in Health Care: A Revolution"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22974.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/22974/benefits-of-big-data-in-health-care-a-revolution/dr-ritushree-narayan
CORD Rare Drug Conference, June 8 - 9, 2022
Opportunities and Challenges for Data Management Real-World Data and Real-World Evidence
• Patient support programs: Sandra Anderson, Innomar Strategies
• AI for Data Management and Enhancement: Aaron Leibtag, Pentavere
• Patient Support and RWE: Laurie Lambert, CADTH
Use of Genetic Databases to Advance Diagnostic Test DevelopmentEMMAIntl
In December 2018, the U.S. Food and Drug Administration formally recognized a public database that contains information about genes, genetic variants, and their relationship to disease. This blog discusses the motivation for creating such public databases and the implications for developers of genetic tests...
This document includes three blog posts recently featured in PharmaVOICE.
The blogs focus on how enhanced access to in-depth health data is impacting an understanding of personhood, the environment around us, and the pharma operating model.
BLOG 1 (Pages 2-7)
Waves of Real Life Data Are Inundating Pharma...Can They Keep Up?
BLOG 2 (Pages 8-13)
Better understanding where and how we live will vastly improve remote patient
monitoring approaches
BLOG 3 (Pages 14-18)
5 Ways Pharma Can Be More Patient-Centered & Usher in Digital Transformation
Send me a note with your comments and feedback. Thanks for reading!
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Welcome to the age of cognitive computing: where intelligent machines have
moved from the realms of science fiction to the present day. This groundbreaking
technology is driving advanced discoveries and allowing improved decision-making –
resulting in better patient care
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems. Purchase the report here: https://gumroad.com/l/PlXP
Precision medicine is a rapidly evolving approach to healthcare that uses patient-specific data to tailor medical treatment and therapies to an individual’s unique needs.
Redesigning the healthcare with artificial intelligence, genomics & neuroscienceArtivatic.ai
HEALTHCARE WHITEPAPER BY ARTIVATIC DATA LABS PRIVATE LIMITED
Healthcare in today’s world has not changed in terms of method of diagnosis where the doctor analyses the patient’s history along with historical records of symptoms to their diagnosis, keeping in mind the current practices involved in the treatment. Usually going through multiple tests and a process of elimination, the process is hectic and more often than not prone to human error. It is not possible for any doctor to analyse every bit of data available in relation to a patient which may include the genetic code etc. Nor is it possible for them to keep track of all historical cases where similar symptoms may have been shown. This is where the application of AI and ML are crucial. They streamline the process and reduce human error while considering all the data available. With the use of AI, the doctor could automatically get recommendations on what kind of diseases could be causing the symptoms shown. Or the patients could be suggested the correct doctor based on their personal preferences and symptoms shown.
Artificial Intelligence, Machine Learning, Genomic, Neuroscience, Diseases
An AI-based Decision Platform built using unified data model, incorporating systems biology topics for unit analysis using semi-supervised learning models
Similar to Possible Solution for Managing the Worlds Personal Genetic Data - DNA Guide, Inc. (20)
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
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
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!
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
263778731218 Abortion Clinic /Pills In Harare ,sisternakatoto
263778731218 Abortion Clinic /Pills In Harare ,ABORTION WOMEN’S CLINIC +27730423979 IN women clinic we believe that every woman should be able to make choices in her pregnancy. Our job is to provide compassionate care, safety,affordable and confidential services. That’s why we have won the trust from all generations of women all over the world. we use non surgical method(Abortion pills) to terminate…Dr.LISA +27730423979women Clinic is committed to providing the highest quality of obstetrical and gynecological care to women of all ages. Our dedicated staff aim to treat each patient and her health concerns with compassion and respect.Our dedicated group ABORTION WOMEN’S CLINIC +27730423979 IN women clinic we believe that every woman should be able to make choices in her pregnancy. Our job is to provide compassionate care, safety,affordable and confidential services. That’s why we have won the trust from all generations of women all over the world. we use non surgical method(Abortion pills) to terminate…Dr.LISA +27730423979women Clinic is committed to providing the highest quality of obstetrical and gynecological care to women of all ages. Our dedicated staff aim to treat each patient and her health concerns with compassion and respect.Our dedicated group of receptionists, nurses, and physicians have worked together as a teamof receptionists, nurses, and physicians have worked together as a team wwww.lisywomensclinic.co.za/
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
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
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?
Possible Solution for Managing the Worlds Personal Genetic Data - DNA Guide, Inc.
1. Navigating Genetic Data
Regulation, Privacy and Ease of Use
Presentation @ BIT World DNA Day and Genome Day, Dalian, China 2011
DNA Guide, Inc. All rights reserved 2011
Alice Rathjen, President, Founder
alice@dnaguide.com
2. The Problem..
Inadequate Infrastructure
Genetic Data Explosion
Huge investment in
Sequencing Technologies
and Molecular Diagnostics
Personalized Medicine
R&D
Pharma /
Clinical
Trials
Consumers/
Patients
INSURANCE
Government & NGO Regulations
Health
Services
The amount of genetic data is about to explode. However, there’s currently inadequate infrastructure for leveraging the value
of genetic data in health care: current software is designed for researchers, there’s a shortage of genetically trained health care
professionals and people fear their genetic data could be used against them. These issues need to be addressed for
personalized medicine to succeed.
3. Anxiety and Fear of Genetic Data
TA T
G C
T
A
C
G
A
Personal genetic information is highly sensitive data touching on the areas of identity, paternity, self worth, and privacy. The
problem that really needs to be solved is how to cultivate a sense of trust between physicians and patients and how to
structure health information transfer in such a way that patients can participate in the management of their data as their bodies
become increasingly digital.
4. T
G
C
A
How Can Personalized Medicine Grow?
Physician as Guide
With Cost Effective,
Real Time Delivery
of Personalized
Information
Patients Increasing
Participation in
Management of their
Genome and Medical
Information
With proper tools we can provide physicians and patients a sense of mastery and control over genetic and health
datasets. This will help facilitate higher patient engagement and opt-in rates for participation in studies - which in turn
will speed up the process of discovery, approval and market adoption of personalized medicine.
5. Traditional Patient/Research Model
• Patient Gets Sick –
Provides Sample
• Small Patient Sample Sizes
• Written Consent?
• Patient/ Data Separated
• Data Quality Over Time?
• Data Liability Over Time?
In the current typical health information system a person gets sick, signs away their rights to their tissues and/or
information, and receives no benefit in return. This model results in small, expensive, research studies and it acquires
significant liabilities over time with regards to consent disputes and potential loss of anonymity. It also makes
tracking individuals, or improving data collection over long stretches of time, difficult.
6. Exponential/Disruptive Model
• “Brown Bag” DNA Sample Submission
(includes user account and password)
• People Own Their Own Genome
• Written Consent Evolves Into
Real Time Consent
• Dynamic Communication With Patient
• Participatory Medicine
• Self-Organizing Genetic Research
In the new model a person submits a DNA sample from a kit that contains a user account and password. Values from
their DNA are used to convert them into a node on the network. Thereafter, they can log on, setting up access for their
doctor, or others, to their genetic or other personal data. Written consent evolves into real time consent. If their password
is compromised, the person submits a new sample to re-establish ownership over the dataset. Self-organizing genomes
drive research. Third parties perform audits to prove authorized use.
7. Personalized Medicine Genome Browser
What you see here is a
example of all the
chromosomes in a person’s
genome that a user would see
when logged on.
DNA Guide then adds layers to
this map so that a person’s
genetic data lies beneath this
image. This image has a
coordinate system associated
to it with full pan and zoom
functionality, like a type of
Google earth for the cell.
On top of this platform we
provide tools for managing the
flow of information from the
lab to any research or health
services setting with the ability
to engage the patient at home.
8. Personalized Medicine Genome Browser
In a typical use case
scenario, a physician could
perform a search based on a
term such as “breast cancer”
and immediately view only
those markers out of a
massive dataset that are
relevant for a particular
patient.
A genome browser such as
this could help provide
genetic counselors and
health service providers a
tool to review genetic
information with their
patients.
By placing the data in this
format, we’ll be able to show
structural variants for full
genomes. Current browsers
show just one chromosome
at a time and aren’t able to do
this.
(Mitochondria)
9. At Zoom in Level Each Base Pair Is A
Programmable Object
At the zoom in level each base pair
is a programmable object, allowing
DNA Guide to automate many of the
processes involved in interpreting
genetic data. This programming
interface can be opened up to allow
third parties to develop a whole
series of molecular diagnostic and
recreational applications to be built
that interact with the individuals
DNA.
10. Government/NGO Regulation and
Digital Human Rights
www.DNAguide.com
Different government and NGO’s will have different regulations with regards to genetic data access. In addition,
issues around privacy and the abuse of genetic data may give rise to various forms of digital human rights. Any
entity working with personal genetic data will no doubt face the scenario where different types of base pairs and
different combinations of base pairs will be regulated differently for different users. Hence, the need for software
that manages interpretation and access down to the base pair level will be critical for transmitting genetic
information from the lab to the physician and patient consistent with regulations.
11. Three Points of Dynamic Regulation
Quality of Science
Medical Utility
Viewing Risk
(Graded) A,B,C,D,F
W = Withdrawn
I = Incomplete
(by Scientific Community)
(by Health Care Providers/ Payors)
E = Everyone,
PG = Physician Guidance
R = Restricted
(Genetic Counselors, Ethics)
Category Rating
(Five Star Rating)
(Movie Rating)
The genetic information sector could be dynamically regulated by a process where an interpretation could be submitted
and receive a rating in three areas: quality of science, medical utility and viewing risk. Each category could be the domain
expertise of the entities indicated above by their providing rating standards which would then be applied to each genetic
marker involved in a test.
12. Genetic Information Marketplace
Discovery Ecosystem
Research Feeds
Personalized Medicine
Patients Feed Research
R&D
Pharma /
Clinical
Trials
Consumers/
Patients
INSURANCEGovernment & NGO Regulations
Health
Services
With a rating system for quality of science, medical utility and viewing risk, genetic interpretation will have a clearer path to
market. For example, a health service provider or insurer could formulate policies such as delivering tests with a science score
of A and medical utility rating of five stars with the proper level of counseling triggered the moment the patient accessed their
genetic information.
13. Example of Genetic Information Flow
PATIENT
Seeks Health Services
Submits DNA Sample
Views interpretation of results
from physician
Participation in Clinical Trials
Receives Drugs Info from
Pharma
Health Services Payer Entities
Require DNA tests for reimbursement of Rx and determine which genetic tests qualify for reimbursement
LAB
Process sample and results
Provide raw DNA data to
database storage for
interpretation
PHARMA/BIOTECH/R&D
INDUSTRY
Provide sample collection kits
and information regarding
personalized medicine
Interface with physician and
patients in clinical trials
Provide lab with new products
and services
Provide patient with retail
outlet for personalized
medicine products
PHYSICIAN,
PATHOLOGIST,
GENETIC COUNSELOR
Assess Patient
Interact with insurance to
determine eligibility
Prescribe test
Collect patient DNA sample
Submit DNA sample to lab
View lab information and
interpret results
Provide analysis and
recommendation to patient
Prescribe course of action.
Interface with pharma
regarding personalized
medicine
Interact with pharma with
clinical trial information
DNA Guide
Genome Management
Software Information Flow
14. The symbols below are an example of how we could convert SNPs information into a graph form to help explain
genetic variation. Using these symbols it’s possible to stack 1,000s of genomes on top of each other in a map and see
variation.
Mobile Platform Symbols
For Ease of Use
Highest Risk
Slightly Higher
Risk
Normal
Lower Risk
Low Magnitude High Magnitude
Below we see how complex ranges of information across multiple locations could be converted to symbols to
make genetic information more easily understood by non-scientific audiences. For example, a red symbol
indicates higher risk and green lower risk. The larger the dot – the more significant the association between
high, normal or low risk.
15. High Risk, Low Risk Assessment
Fast and Affordable
Here’s an example of what
the diagnostic results for a
high risk genome could
look like
By using a simple symbol
classification, DNA Guide
is able to provide a quick
assessment for the entire
genome.
More detailed information
could be available by
selecting the objects in the
map to generate a report.
16. Converting the $1,000 Genome into the
Two Minute Genome
Here’s an example of a low risk
genome result.
Complex molecular diagnostic
information can be delivered in
a format that is fast and
affordable on a mobile device.
DNA Guide’s software is able
to convert the $1,000 genome
into the two minute genome –
bringing personalized
medicine to the point of care.
17. DNA Guide Toolkit
DNA Security
Token DNA Compass DNA Body
DNA Guide uses values within the DNA
sample to uniquely identify every dataset.
This token can serve as a dynamic or
static IP address - allowing every
organism to become a node on the
network.
DNA Guide provides dynamic maps of entire
genomes available on all mobile platforms. DNA
Guide’s Compass can perform spatial analysis
across multiple layers of different types of genetic
data. Current browser solutions on the
marketplace are limited to single chromosomes
with one dimensional analysis.
DNA Guide’s DNA Body will provide
expression data, medical records, and
images to be linked to a map of the human
body and to genomic location.
DNA Guide’s solution has three core modules : a security component and map linking genetic data to 2d
and 3d representation of the cell or body. The total solution offers genetic data interoperability for all
users involved in personalized medicine.
18. DNA Guide Security Token
DNA Guide selects about two hundred values
within each DNA sample to uniquely identify
one in a trillion persons. This DNA token
provides the foundation for further security
and a mechanism for providing privacy over
the dataset.
• Uniquely identify each dataset
• Store and retrieve genetic data anonymously
• Perform audits, merge data
• Re-associate information throughout a person’s lifetime
• Have variations for different uses
Raw DNA Values
DNA Security Token
19. Mapping the Human Genome With
Geographic Information Systems (GIS)
DNA Guide Novel Approach:
Physical (or biological) data with annotation information is
mapped to point, line or polygon object(s) with coordinates to
enable the spatial query and analysis of information.
Line (mRNA, siRNA, indels,
translocations)
(x,y,z)
Point (alleles, SNPs, genes,
Methylation, Expression Data each
as a separate layer in the map)
• Data is optimized for spatial comparisons with ability to utilize
raster to vector conversion techniques.
• Re-project genetic data on the fly for comparison of different
alignments.
• Find the “Needle in the Haystack” (layers optimized by spatial
query).
• Leverage existing mapping tools such as buffer, cluster and
network topology analysis for discovery.
http://en.wikipedia.org/wiki/Geographic_information_system
• View Information in “Thematic Map” format
http://en.wikipedia.org/wiki/Thematic_map
(direction/distance)
Polygon (any Genetic Region)
(in) (out)
20. Mapping From DNA, mRNA, to
Proteins, to Pathways and Beyond
Using Mapping Software to Map the Genome
GIS (Geographic Information Systems)
DNA Guide genome navigation applications use
Geographic Information Systems (GIS)
technology. The graphic objects have “topology”
which allows symbols from different layers in the
map (i.e. genes, SNPs, insertions, deletions, copy
number variations, gene expression data) to know
where they are in relation to each other. Objects
can be queried within the same layer or in relation
to different layers.
Each node in the map can have a 2 or 3D position
and direction associated with it. In the case of
genome data we treat chromosomes as
continents, SNPs as if they're towns on a map,
and genes can be treated like a State (a polygon),
highways (a line) or cities (a point) depending on
how we want to study the information. The
standard GIS data output is a thematic map, an
icon-driven format well suited for mobile
platforms.
By using mapping coordinates, users will be able
to move between layers of genetic information -
all the way from DNA to MRNA to proteins, to
pathways to the function of physiology to body
systems.
From a technology standpoint we’ve redeployed
existing mapping software and swapped out the
sphere of the earth for the cell.
21. DNA Body Slide
The following images were
taken from Google Body
yet represent DNA Guide’s
plans to implement
mapping software to
include a representation of
the human form linked to
genetic data as part of our
solution.
We anticipate users will be
able to click on the body to
generate queries for
information, with our
eventually showing how
their genes are expressed
in their body.
DNA Guide is working
towards a future where a
person’s medical
information is linked to a
representation of their
human form with their
electronic medical record
user account information
being derived from the
values within their DNA.
22. T
G
C
A
Acknowledgements
DNA Guide, Inc.
http://www.DNAguide.com
Alice Rathjen
President and Founder
alice@dnaguide.com
Deborah Kessler, CEO
William Kimmerly, Ph.D.
Chief Scientific Officer
Xavier Thomas
Product Development Dir.
Saw Yu Wai
Platform Architect
Mark Boguski, MD. Ph.D,
Advisor
Editor's Notes
DNA Guide is a California based start-up – focusing on the security and visualization of genetic data on mobile platforms - the idea being other entities would create genetic data and provide the interpretation for it and we help distribute it. Today I would like to propose a possible solution for managing the worlds personal genetic data – one that may be able to help us all navigate the areas of genetic regulation, privacy and ease of use.
The amount of genetic data is about to explode. However, there’s currently inadequate infrastructure for leveraging the value of genetic data in health care: current software is designed for researchers, there’s a shortage of genetically trained health care professionals and people fear their genetic data could be used against them. These issues need to be addressed for personalized medicine to succeed.
Personal genetic information is highly sensitive data touching on the areas of identity, paternity, self worth, and privacy. The problem that really needs to solved is how to cultivate a sense of trust between physicians and patients and how to structure information transfer in such a way that patients can participate in the management of their health data as their bodies become increasingly digital.
With proper tools we can provide physicians and patients a sense of mastery and control over genetic and health datasets. This will help facilitate higher patient engagement and opt-in rates for participation in studies - which in turn will speed up the process of discovery, approval and market adoption.
In the current typical health information system a person gets sick, signs away their rights to their tissues and/or information and receives no benefit in return. This model results in small, expensive, research studies and acquires significant liabilities over time with regards to consent disputes and potential loss of anonymity. It’s also difficult tracking individuals or improving data collection over long stretches of time.
In the new model a person submits a DNA sample kit that contains a user account and password which in turn provides the foundation for their electronic medical record. They long on, set up access for their doctor, or other entity to their genome and over time /or other personal information. Written consent evolves into real time consent. Ideally people would have the option to only do business with those entities that agree to third party audits to prove authorized use. If their password is compromised – the person submits a new sample to re-establish ownership over the dataset. T
What you see here is a example of all the chromosomes in a persons genome that a user would see when logged on. DNA Guide then adds layers to this map so that a person sequence and/or SNP information lies beneath this image that has a coordinate system associated to it with the full pan and zoom of a type of Google earth for the cell. On top of this platform we then provide tools for managing the flow of information from the lab, to any health services environment, ability to engage physician patient or consumer at home.
At the zoom in level each base pair is a programmable object – allowing DNA Guide to automate many of the processes involved in the interpretation of genetic data. DNA Guide can open up the application programming interface for a whole series of molecular diagnostics and recreational applications to be built that interact with the individuals DNA as manage interpretation and access down to the base pair level. (trigger counseling at the moment information is accessed). We can open up the application programming interface for a whole series of molecular diagnostics and recreational applications to be built that interact with the individuals DNA as well as apply organizational
Different government and NGO’s will have different regulations with regards to genetic data access. In addition - issues around privacy and the abuse of genetic data may give rise to various forms of digital human rights. Any entity working with personal genetic data will no doubt face the scenario where different types of base pairs and different combinations of base pairs will be regulated differently for different users. Hence, the need for software that manages interpretation and access down to the base pair level will be critical for transmitting genetic information from the lab to the physician and patient consistent with regulations.
One way of regulating the genetic information sector is for there to be a process where a commercial interpretation could be submitted and receive an identifier along with a rating in three areas: quality of science, medical utility and viewing risk. Each category could be the domain expertise of the entities indicated above with their providing a rating which would then be applied to each genetic marker involved in the test.
By applying a rating system for quality of science, medical utility and viewing risk – personal genetic data will be able to enter the market place with the various players able to monetize and while refining the deployment of personalized medicine. For example, a health service provider would formulate policies such as delivering tests with a science score of A and medical utility rating of 5 stars or higher and have the application built such that the proper level of patient counseling was triggered the moment the patient went to access their genetic information.
This diagram here outlines the needs regarding the flow of genetic information between patient, payers, the lab, and any research and health services setting.
The symbols above are an example of how we could convert SNPs information into a graph form to help explain genetic variation. Using these symbols it’s possible to stack 1,000s of genomes on top of each other and detect variation. Here we see how complex ranges of information across multiple locations could be placed into a format that would make genetic informaiton available to non-scientific audiences.
Here we did a query on breast cancer and are showing some of his higher risk markers. We’re looking for funding to scale this application to include an entire genome. By placing the data in this format we’ll be able to show insertions, deletions, copy number variants as well as incorporate gene expression data into a single map. Current browsers show just one chromosome at a time and aren’t able to do this.
Here we did a query on breast cancer and are showing some of his higher risk markers. We’re looking for funding to scale this application to include an entire genome. By placing the data in this format we’ll be able to show insertions, deletions, copy number variants as well as incorporate gene expression data into a single map. Current browsers show just one chromosome at a time and aren’t able to do this.
This slide explains some of the benefits of using geographic information systems technology on a genetic dataset. Genetic markers are converted into a point, line or polygon that can be spatially analyzed in relation to each other.
What DNA Guide has done is swap out the earth for the cell. By using mapping coordinates - users will be able to move between layers of genetic information - all the way from DNA to MRNA to proteins, to pathways to the function of physiology to body systems. The current bioinformatics tools aren’t able to do this.
Special thanks to Saw Yu Wai for her work on getting the full extents of the genome working on the various mobile platforms for us and the rest of DNA Guide’s team.