BRIDGE2AI

Bridge2AI Open House
2024-04-18 - 2024-04-19 | NIH Neuroscience Center, 6001 Executive Blvd, Rockville, MD, 20852, United States

The MIDRC Diversity Calculator: A dynamic tool for measuring and monitoring the representativeness of biomedical datasets
2024-05-21 15:00 - 15:45 (America/New_York)
The Medical Imaging and Data Resource Center (MIDRC) will be hosting an upcoming seminar on Tuesday, May 21. The talk, “The MIDRC Diversity Calculator: A dynamic tool for measuring and monitoring the representativeness of biomedical datasets,” will be held virtually at 3PM ET.
Held on the third Tuesday of the month, the MIDRC seminar series is an opportunity for members of the medical community at large to hear directly from the MIDRC Team! This session will feature research presentations from MIDRC investigators on new and noteworthy advances, and includes a live Q&A session for all attendees.
The speakers for this session will be Robert Tomek, M.S., and Heather Whitney, Ph.D.
These virtual seminars are free and open to everyone. We hope you’ll join us throughout the year for these engaging discussions. Seminar registration is required to attend.
For more information on the seminar series, visit the MIDRC website.

UCSD COGnition Seminar Series: Who Judges the Robot Judges?
2024-06-06 13:00 - 14:00 (America/New_York)
Dexter Pratt (UCSD) will explore issues in developing AI agents that evaluate the behavior of other agents. Agent-based judges will almost certainly have problems with bias and consistency, but can we create judges that are good enough to be useful?
Click here to learn more information.

AI READI Monthly Speaker Series: “Regulatory Considerations: Health Equity, AI, and Bias”, lecture by Dr. Michael D. Abramoff, MD, PhD
2024-06-18 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, June 18th at 12pm-1pm PST/3pm-4pm EST for the lecture “Regulatory Considerations: Health Equity, AI, and Bias ” by Dr. Michael D. Abramoff, MD, PhD
Zoom link: https://washington.zoom.us/j/93878229164
Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist and entrepreneur. Dr. Michael Abramoff, MD, PhD, (Gold Fellow, ARVO and Fellow, IEEE) is the Robert C. Watzke, Professor of Ophthalmology and Visual Sciences at the University of Iowa, with a joint appointment in the College of Engineering. Dr. Abramoff is also Founder and Executive Chairman of Digital Diagnostics, the Autonomous AI diagnostics company that was the first in any field of medicine to get FDA clearance for an autonomous AI, where the AI makes a medical decision without human oversight, and which, in primary care, it can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff developed an ethical foundation for autonomous AI that was used during the design, validation, of AI and regulatory and reimbursement pathways for autonomous AI. The results of randomized controlled trials show that it increases clinician productivity, lowers cost, and improves health equity, patient outcomes, and care access. Finally, he is founder of the Healthcare AI coalition, representing many healthcare AI companies, and a founding member and treasurer of FDA’s Collaborative Community on Ophthalmic Imaging. As the author of over 400 peer-reviewed publications in this field, he has been cited over 47,000 times (h-index 80), and is the inventor on 25 issued patents and many patent applications. Dr. Abramoff has mentored dozens of engineering graduate students, ophthalmology residents, and retina fellows. His passion is to use autonomous AI to improve the productivity and accessibility of healthcare.
Link to previous lecture recordings and terms of the month: https://aireadi.org/blog

MIDRC Seminar
2024-06-18 15:00 - 16:30 (America/New_York)
The Medical Imaging and Data Resource Center (MIDRC) will be hosting an upcoming seminar on Tuesday, June 18. The talk, “Introducing MIDRC Helper AI: A Demonstration of Enhanced Medical Imaging Analysis,” will be held virtually at 3PM ET.
Held on the third Tuesday of the month, the MIDRC seminar series is an opportunity for members of the medical community at large to hear directly from the MIDRC Team! This session will feature research presentations from MIDRC investigators on new and noteworthy advances, and includes a live Q&A session for all attendees.
The speakers for this session will be Maryam Vazirabad, M.S., from RSNA; George Shih, M.D., from Weill Cornell Medical College; and Adam Flanders, M.D., from Thomas Jefferson University.
These virtual seminars are free and open to everyone. We hope you’ll join us throughout the year for these engaging discussions. Seminar registration is required to attend.
For more information on the seminar series, visit the MIDRC website.

B2AI Discussion Forum on Emerging ELSI Issues: “Policy and Ethics in Innovation: Developing and Applying Ethics and Equity Principles, Terms, and Engagement Tools in AI and Machine Learning”, by Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A.
2024-07-16 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, July 16th at 12pm-1pm PST/3pm-4pm EST for the lecture “Policy and Ethics in Innovation: Developing and Applying Ethics and Equity Principles, Terms, and Engagement Tools in AI and Machine Learning”, by Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A.
Additional details in the attached documents and message below.
Zoom link: https://uchealth.zoom.us/j/81753058557
Bio: Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A., is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Institute for Health Policy and former Chief Data Governance Officer at the National Alliance Against Disparities in Patient Health. She recently joined the AcademyHealth Advancing Research on Trust initiative as a Scholar in Residence. Dr. Hendricks-Sturrup holds research and practice expertise as a health scientist, engagement expert, and bioethicist. Her work focuses on examining and addressing ethical, legal, social, and implementation issues at the forefront of policy and health innovation.
Links to previous lecture recordings and terms of the month: https://vimeo.com/showcase/11167277 https://bridge2ai.org/blog/

Voice AI Summer School Series - Bridge2AI Voice Dataset: Collection, Storage, Access and Analysis
2024-07-19 16:00 - 17:00 (America/New_York)
Please join us on Friday, July 19 at 1:00 PM PST / 3:00 PM CST / 4:00 PM EST for a lecture on the Bridge2AI Voice dataset, including voice data collection, storage, access, and analysis, presented by Satrajit Ghosh, PhD, Alistair Johnson, DPhil, and Alexandros Sigaras, MS. Satrajit Ghosh is a Principal Research Scientist at the McGovern Institute for Brain Research at MIT, Assistant Professor in the Department of Otolaryngology at Harvard Medical School, and lead of the Standards team in the Bridge2AI Consortium. Dr. Johnson is an Independent Consultant for Glowyr, where he provides support for research and development projects specializing in biomedical data and machine learning. Alex Sigaras is an Assistant Professor of Research in Physiology and Biophysics at Weill Cornell Medicine and lead of the Tools Development and Optimization in the Bridge2AI Consortium.
This lecture is the eighth and final webinar in a series from voice AI-experts geared towards the future AI/ML workforce to prepare them work with voice AI. These webinars are hosted by the Skills and Workforce Development (SWFD) team of the Bridge2AI Voice Consortium. The Voice consortium aims to integrate the use of voice as biomarker of health in clinical care to assist in screening, diagnosis, and treatment of a broad range of diseases. The SWFD team is comprised of members from both Oregon Health & Science University (PIs Bill Hersh and David Dorr) and Washington University (PI Philip Payne).
Join the meeting here.

B2AI Discussion Forum on Emerging ELSI Issues: “Trustworthy Machine Learning” by Dr. Kush R. Varshney, PhD
2024-09-17 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, September 17th at 12pm-1pm PST/3pm-4pm EST for the discussion forum “Trustworthy Machine Learning”, by Dr. Kush R. Varshney.
Zoom link:
https://uchealth.zoom.us/j/81753058557
Registration required, register here!
Zoom link:
https://uchealth.zoom.us/j/81753058557
Bio:
Kush R. Varshney was born in Syracuse, New York in 1982. He received the B.S. degree (magna cum laude) in electrical and computer engineering with honors from Cornell University, Ithaca, New York, in 2004. He received the S.M. degree in 2006 and the Ph.D. degree in 2010, both in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge. While at MIT, he was a National Science Foundation Graduate Research Fellow.
Dr. Varshney is an IBM Fellow based at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he directs the Human-Centered Trustworthy Artificial Intelligence team. He was a visiting scientist at IBM Research – Africa, Nairobi, Kenya in 2019. He was the founding co-director of the IBM Science for Social Good initiative from 2015-2023. He applies data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness, which has led to the Extraordinary IBM Research Technical Accomplishment for contributions to workforce innovation and enterprise transformation, and IBM Corporate Technical Awards for Trustworthy AI and for AI-Powered Employee Journey.
He and his team created several well-known open-source toolkits, including AI Fairness 360, AI Explainability 360, Uncertainty Quantification 360, and AI FactSheets 360. AI Fairness 360 has been recognized by the Harvard Kennedy School’s Belfer Center as a tech spotlight runner-up and by the Falling Walls Science Symposium as a winning science and innovation management breakthrough.
He conducts academic research on the theory and methods of trustworthy machine learning. His work has been recognized through paper awards at the Fusion 2009, SOLI 2013, KDD 2014, and SDM 2015 conferences and the 2019 Computing Community Consortium / Schmidt Futures Computer Science for Social Good White Paper Competition. He independently-published a book entitled ‘Trustworthy Machine Learning’ in 2022, available athttp://www.trustworthymachinelearning.com. He is a fellow of the IEEE.
Links to previous recordings and terms of the month:
https://vimeo.com/showcase/11167277
https://bridge2ai.org/blog/

2024 IMAG Multiscale Modeling Consortium meeting
2024-09-30 - 2024-10-02 | NIH Conference Center, 6001 Executive Blvd., Bethesda, Maryland, NIH Conference Center, 6001 Executive Blvd., Bethesda, MD, United States
Join us at the 2024 IMAG/MSM meeting, where we are pioneering the future of Biomedical Digital Twins (BDT)!
The meeting aims to create a community of expertise from academia, industry, medicine, and government to promote, empower, and facilitate the understanding, collaboration, creation of tools and infrastructure for biomedical digital twins (BDT) through informational talks coupled with interactive team building exercises.
We are taking the visionary NASEM definition of a digital twin and applying it to the realms of biomedical, biological, and behavioral systems. The potential for BDT is vast, but with that comes unique challenges that are specific to these systems—challenges that go beyond what is encountered in other fields.
While it’s true that current research projects have yet to fully meet the NASEM criteria for a digital twin, this is our moment to rise to the occasion. The 2024 meeting is not just about discussing what we have achieved; it’s about envisioning and building the future. Together, we will explore the untapped potential of BDT, formulate how to push the boundaries of what’s possible, and set new standards for innovation in this transformative field.
All levels of familiarity with BDT are invited to attend, present a poster, participate in creating consensus templates for BDT requirements and review, and pitch BDT ideas with teams across domains.
This is your opportunity to be at the forefront of a movement that will redefine the intersection of technology and life sciences. Join us in creating the future of healthcare!

Title: Setting up Teams for Biomedical Digital Twins (BDT)
· About the Meeting
· Logistics
· Agenda
Dates: September 30 – October 2, 2024

Location: NIH Conference Center, 6001 Executive Blvd., Bethesda, Maryland
Hotels: Pike & Rose area, North Bethesda, Maryland

TRM@Bridge2AI Lecture: Introduction to AI-READI, Studying Salutogenesis in T2DM
2024-10-10 15:00 - 16:00 (America/New_York)
In collaboration with the Grand Challenges (GCs) at Bridge2AI, the Bridge Center Training, Recruitment, and Mentorship Working Group presents a new education module launching this fall: “Introduction to the Bridge2AI GC Datasets.” Please join us on Thursday, October 10th 2024, for the first lecture in this series “Introduction to AI-READI, Studying Salutogenesis in T2DM.”Please see attached for more information. We look forward to your attendance!
Join the webinar here!
Read more information about the speakers and webinar here!

Un/regulated Voice AI for Health? Implications of the safety and efficacy evaluation for Trustworthiness
2024-10-15 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, October 15th at 12pm-1pm PST/3pm-4pm EST for the discussion forum “Un/regulated Voice AI for Health? Implications of the safety and efficacy evaluation for Trustworthiness” by Hortense Gallios and Dr. Jean-Christophe Bélisle-Pipon
Registration not required!
Zoom link:
https://uchealth.zoom.us/j/81753058557
Additional details in the attached documents and message below.
Bio:
Hortense Gallios is a B2AI-Voice Scholar and doctoral student in bioethics in cotutelle between Université de Montréal and Simon Fraser University in Vancouver. Her doctoral studies are centred on identifying good governance practices for the responsible and equitable use of voice data, in the context of voice AI research for health. Hortense has a background in law (Bachelor and Masters from Université Lille 2, France) and in bioethics (M.A from Université de Montréal) and focuses in the intersection of law and ethics applied to health and new technology..
Links to previous recordings and terms of the month:
https://vimeo.com/showcase/11167277
https://bridge2ai.org/blog/

TRM Grand Challenges Module: “Introduction to GC-Voice Datasets”
2024-11-07 15:00 - 16:00 (America/New_York)
In collaboration with the Grand Challenges (GCs) at Bridge2AI, the Bridge Center Training, Recruitment, and Mentorship Working Group presents the education module: “Introduction to the Bridge2AI GC Datasets.”Please join us on Thursday, November 7th 2024, at 12 PM PT/3 PM ET for the next lecture in this series “Introduction to GC–Voice Datasets.” Please see attached for more information. We look forward to your attendance!Join the live lecture using this zoom link.

B2AI Discussion Forum on Emerging ELSI Issues: The ROI of Health AI: We need more roads, not Ferraris
2024-11-19 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, November 19th at 12pm-1pm PST/3pm-4pm EST for the discussion forum “The ROI of Health AI: We need more roads, not Ferraris”, by Dr. Leo Celi.
Registration not required!
Zoom link:
https://uchealth.zoom.us/j/81753058557
Additional details in the attached documents and message below.
Bio:
Dr. Celi is the principal investigator behind the Medical Information Mart for Intensive Care (MIMIC) and its offsprings, MIMIC-CXR, MIMIC-ED, MIMIC-ECHO, and MIMIC-ECG. With close to 100k users worldwide, an open codebase, and close to 10k publications in Google Scholar, the datasets have undoubtedly shaped the course of machine learning in healthcare in the United States and beyond. His group has written 3 open-access textbooks: “Secondary Analysis of Electronic Health Records” in 2016, “Global Health Informatics: Principles of eHealth and mHealth to Improve Quality of Care” in 2017, and “Leveraging Data Science for Global Health” in 2020. The first has been downloaded over 1.7 million times and translated into Mandarin, Spanish, Korean and Portuguese. The group has created two open online courses, “Global Health Informatics” and “Collaborative Data Science for Healthcare”. Finally, in partnership with hospitals, universities and professional societies across the globe, Dr. Celi and his team have organized over 50 datathons in 22 countries, bringing together students, clinicians, researchers, and engineers to leverage data routinely collected in the process of care.
Links to previous recordings and terms of the month:
https://vimeo.com/showcase/11167277
https://bridge2ai.org/blog/

TRM Grand Challenges Module: “Introduction to CM4AI Datasets”
2024-11-21 15:00 - 16:00 (America/New_York)
In collaboration with the Grand Challenges (GCs) at Bridge2AI, the Bridge Center Training, Recruitment, and Mentorship Working Group presents the education module: “Introduction to the Bridge2AI GC Datasets.” Please join us on Thursday, November 21st 2024, at 12 PM PT/3 PM ET for the next lecture in this series “Introduction to CM4AI Datasets.”
Join the Live-Lecture using this zoom link: https://uclahs.zoom.us/j/96802224199
The lecture will be available on the Bridge2AI TRM Vimeo within 48 hours after the lecture at the following website: and the Official Bridge2AI YouTube channel found here:
Intro Slide Deck
Promotional Flyer

Bridge2AI Fall 2024 Leadership Meeting
2024-12-05 - 2024-12-06
Our December 2024 Bridge2AI Leadership Meeting will be an opportunity for researchers and experts to engage in vibrant discussions. The theme of the Fall Leadership Meeting is: Cross Consortium Synergies.Representatives from all the Grand Challenges (GC) and the Bridge Center (BC) will present highlights of their research and facilitate discussions aligned with the theme of the meeting.
The meeting will be chaired by Dr. Trey Ideker, UC San Diego, and Dr. LaKaija Johnson, Sage Bionetworks. To view the meeting agenda, please visit this link.
Location:
Estancia La Jolla Hotel & Spa
9700 N. Torrey Pines Rd La Jolla, CA 92037
Contact Information
Hotel Direct 855-318-7602
Reservations 858-412-0100

B2AI Discussion Forum on Emerging ELSI Issues: “Using AI in Patient Care: Emerging Legal Issues” by Dr. Michelle Mello, PhD
2024-12-10 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, December 10th at 12pm-1pm PST/3pm-4pm EST for the discussion forum “Using AI in Patient Care: Emerging
Legal Issues”, by Dr. Michelle M. Mello.
Registration not required!
Zoom link:
https://uchealth.zoom.us/j/81753058557
Additional details in the attached documents and message below.
Bio:
Michelle Mello is Professor of Law at Stanford Law School and Professor of Health Policy in the Department of Health Policy at Stanford University School of Medicine. She conducts empirical research into issues at the intersection of law, ethics, and health policy. She is the author of more than 260 articles on medical liability, public health law, the public health response to COVID-19, pharmaceuticals and vaccines, data ethics and privacy, artificial intelligence, research ethics and governance, and other topics.The recipient of a number of awards for her research, Dr. Mello was elected to the National Academy of Medicine at the age of 40. From 2000 to 2014, she was a professor at the Harvard School of Public Health, where she directed the School’s Program in Law and Public Health. Dr. Mello teaches in the areas of torts, public health law, and health policy. She holds a J.D. from the Yale Law School, a Ph.D. in Health Policy and Administration from the University of North Carolina at Chapel Hill, an M.Phil. from Oxford University, where she was a Marshall Scholar, and a B.A. from Stanford University.Links to previous recordings and terms of the month:
https://youtube.com/@Bridge2AI
https://bridge2ai.org/blog/

B2AI Discussion Forum on Emerging ELSI Issues: “Ensuring Responsible AI in Healthcare: Ethical Challenges and Pathways to Equity” by Dr. Hernandez-Boussard
2025-01-21 15:00 - 16:00 (America/New_York)
Bio:
Dr. Hernandez-Boussard is an Associate Dean of Research and Professor of Medicine (Biomedical Informatics), Biomedical Data Sciences, Surgery and Epidemiology & Population Health (by courtesy) at Stanford University. With a rich background and vast expertise in biomedical informatics, health services research, and epidemiology, she is at the forefront of advancing healthcare through the development, evaluation and application of innovative methods. Through her research, she aims to effectively monitor, measure, and predict equitable healthcare outcomes. By leveraging real-world data, her team works diligently to construct a solid body of evidence that can significantly enhance patient outcomes, streamline healthcare delivery, and provide valuable guidance for health policy decisions. In addition, Dr. Hernandez-Boussard focuses intensively on mitigating bias and enhancing equity within artificial intelligence applications in healthcare settings. Through her research and evaluation of AI technology, she seeks to advance healthcare practices while ensuring that diverse populations receive equitable resources, care, and outcomes.
ZOOM ID: 817 5305 8557

B2AI Discussion Forum on Emerging ELSI Issues: “Concepts of Identity in Voice: Audio Data Processing and Anonymization” by Dr. Satrajit Ghosh
2025-02-18 15:00 - 16:00 (America/New_York)
Bio:
Dr. Satrajit Ghosh is the Director of Open Data in Neuroscience Initiative and a Principal Research Scientist at the McGovern Institute for Brain Research at MIT, and an Assistant Professor of Otolaryngology – Head and Neck Surgery at Harvard Medical School. He is a computer scientist and computational neuroscientist by training. He directs the Senseable Intelligence Group (https://sensein.group/) whose research portfolio comprises projects on spoken communication, brain imaging, and informatics to address gaps in scientific knowledge in three areas: the neural basis and translational applications of human spoken communication, machine learning approaches to precision psychiatry and medicine, and preserving information for reproducible research and knowledge generation. He is a PI on NIH projects supported by the BRAIN Initiative and the Common Fund and is a big proponent of open and collaborative science.
ZOOM ID: 817 5305 8557

B2AI Discussion Forum on Emerging ELSI Issues: “Re-identification Risks in Wearable Sensor Data: Ethical and Privacy Challenges in Digital Health Research” by Dr. Nebeker and Kumar
2025-03-18 15:00 - 16:00 (America/New_York)
Have you collected or are interested in collecting accelerometry data acquired from wrist-worn devices, like a smartwatch or fitness tracker in your field study? Are you curious about the re-identification risks such data may or may not pose to your participants? This seminar will focus on increasing your awareness and perceptions of a potential risk to participant privacy from the use of wrist-worn motion sensors like activity trackers or smartwatches – specifically privacy risks associated with re-identification from raw accelerometer data. Using two case studies, we examine how raw accelerometry data can be traced back to individuals, the implications for research participant privacy, and strategies to mitigate risks. Join us for a critical discussion on safeguarding participant privacy in digital health research.
Bio:
Dr. Camille Nebeker directs the UC San Diego Research Ethics Program and is a professor of public health with appointments in the UC San Diego Design Lab and the Herbert Wertheim School of Public Health and Human Longevity Science. In 2018, Dr. Nebeker co-founded the ReCODE Health center, which is dedicated to conducting cutting edge research to inform ethical practices in digital/AI health research – including machine learning and the use of large language models. The ReCODE Health center supports education and consultation services to guide ethical practices in technology-supported health research across diverse research sectors including traditional academic research and, increasingly, the health technology sector. She’s a principal investigator with the Bridge2AI Center’s Ethical, Legal and Social Implications Core.
Dr. Santosh Kumar is the Lillian and Morrie Moss Chair of Excellence Professor in the Department of Computer Science at the University of Memphis. He directs the NIH-funded mDOT Center and previously led the NIH-funded MD2K Center of Excellence. He is also co-founder and CEO of CuesHub, PBC. Santosh’s research has resulted in wearable AI for detecting stress, smoking, craving, drug use, brushing, flossing, and stressful conversations from physiological and motion sensors. His team has developed software platforms for smartphone, smartwatches, and cloud that has been used across the country for collecting hundreds of terabytes of mobile sensor data from over 3,000+ human volunteers in their natural environments as part of various scientific user studies that are being used for understanding privacy risks and developing foundation AI models for wearable sensors.
ZOOM ID: 817 5305 8557

Hospital Implementation of Medical AI: Legal and Ethical Issues
2025-04-15 15:00 - 16:00 (America/New_York)
This talk will discuss legal and ethical issues that arise when hospitals implement medical AI, including discussing ambient listening, AI scribing, and AI drafting of communication with patients, as well as more clinical technologies.
ZOOM ID: 817 5305 8557
Bio:
Professor Cohen is a leading expert in bioethics, health law, and civil procedure. An elected member of the National Academy of Medicine, he has advised U.S. Vice President Harris on reproductive rights, discussed medical AI policy with the Korean Congress, and lectured globally. His work appears in top legal, medical, and public health journals, as well as major media outlets. A Harvard Law professor since 2008, he has authored over 200 articles and 20 books on topics like AI in medicine, reproductive technologies, and health policy. He also leads major research initiatives, provides expert testimony, and remains active in litigation and bioethics advisory roles.
—-
Prof. Cohen is one of the world’s leading experts on the intersection of bioethics (sometimes also called “medical ethics”) and the law, as well as health law. He also teaches civil procedure. He is an elected member of the National Academy of Medicine and has advised the U.S. Vice President Harris on reproductive rights, discussed medical AI policy with members of the Korean Congress, and lectured to legal, medical, and industry conferences around the world. His work has been frequently covered by or appeared in media venues such as PBS, NPR, ABC, NBC, CBS, CNN, the New York Times, The Washington Post, the Boston Globe.
He was the youngest professor on the faculty at Harvard Law School (tenured or untenured) both when he joined the faculty in 2008 (at age 29) and when he was tenured as a full professor in 2013 (at age 34), though not the youngest in history.
Prof. Cohen’s current projects relate to medical AI, mobile health and other health information technologies, abortion, reproduction/reproductive technology, the therapeutic use of psychedelic drugs, research ethics, organ transplantation, rationing in law and medicine, health policy, FDA law, translational medicine, medical tourism and many other topics.
He is the author of more than 200 articles and chapters and his award-winning work has appeared in leading legal (including the Stanford, Cornell, and Southern California Law Reviews), medical (including the New England Journal of Medicine, JAMA), bioethics (including the American Journal of Bioethics, the Hastings Center Report), scientific (Science, Cell, Nature Reviews Genetics) and public health (the American Journal of Public Health) journals, as well as Op-Eds in the New York Times, Washington Post, New Republic, Time Magazine, and other venues.
Cohen is the author, co-author, editor, or co-editor of more than 20 books. They include: COVID-19 and the Law (Cambridge University Press, 2023); Reproductive Technologies and the Law (Caroline Academic Press, 2022);The Future of Medical Device Regulation (Cambridge University Press, 2022) Consumer Genetic Technologies: Ethical and Legal Considerations (Cambridge University Press, 2021); Readings in Comparative Health Law and Bioethics (Carolina Academic Press, 2020); Disability, Health, Law, and Bioethics (Cambridge University Press, 2020); Transparency in Health and Health Care in the United States (Cambridge University Press, 2019); Health Care Law and Ethics (Aspen, 2018); Big Data, Health Law, and Bioethics (Cambridge University Press, 2018); Law, Religion, and Health in the United States (Cambridge University Press, 2017); Specimen Science (MIT Press, 2017); Nudging Health: Health Law and Behavioral Economics (John Hopkins University Press, 2016) The Oxford Handbook of U.S. Health Care Law (Oxford University Press, 2016); FDA in the Twenty-First Century: The Challenges of Regulating Drugs and New Technologies (Columbia University Press, 2015); Patients with Passports: Medical Tourism, Law, and Ethics (Oxford University Press, 2014); Human Subjects Research Regulation: Perspectives on the Future (MIT Press, 2014); The Globalization of Health Care: Legal and Ethical Issues (Oxford University Press, 2013).
For his law school teaching he was awarded the HLS Student Government Teaching and Advising Award in 2017. For the public he created the free online Harvard X class Bioethics: The Law, Medicine, and Ethics of Reproductive Technologies and Genetics, taken by more than 100,000 students. You can also watch his Tedx talk, Are There Non-Human Persons? Are There Non-Person Humans? He is also the faculty lead on Zero-L, an online course to help law students transition to law school that has been used by more than half of all U.S. law schools.
Prior to becoming a professor he served as a law clerk to Judge Michael Boudin of the U.S. Court of Appeals for the First Circuit and as a lawyer for U.S. Department of Justice, Civil Division, Appellate Staff, where he handled litigation in the Courts of Appeals and (in conjunction with the Solicitor General’s Office) in the U.S. Supreme Court. In his spare time (where he can find any!) he still litigates, having authored an amicus brief in the U.S. Supreme Court for in AMP v. Myriad, concerning whether human genes are patent eligible subject matter, a brief that was extensively discussed by the Justices at oral argument. Most recently he has helped with amicus briefs regarding mifepristone (for medical abortion) and gender-affirming care for trans minors. He also provides expert testimony in health law and bioethics litigation.
Cohen was selected as a Radcliffe Institute Fellow for the 2012-2013 year and by the Greenwall Foundation to receive a Faculty Scholar Award in Bioethics. He is also a Fellow at the Hastings Center, the leading bioethics think tank in the United States as well as being a fellow of the Pierre Elliot Trudeau Foundation. He leads the Project on Precision Medicine, Artificial Intelligence, and the Law (PMAIL), which is part of the larger Centre for Advanced Studies in Biomedical Innovation Law (CeBIL). He is also the principal investigator for Diagnosing in the Home: The Ethical, Legal, and Regulatory Challenges and Opportunities of Digital Home Health and the Project on Psychedelics Law and Regulation (POPLAR). He previously served as the co-lead on the Regulatory Foundations, Ethics, and Law Program of Harvard Catalyst and as one of the key co-investigators on the multi-million dollar Football Players Health Study at Harvard, focused on improving the health of NFL players.
Cohen is also one of three editors-in-chief of the Journal of Law and the Biosciences, a peer-reviewed journal published by Oxford University Press and serves on the editorial board for the American Journal of Bioethics. He served on the Steering Committee for Ethics for the Canadian Institutes of Health Research (CIHR), the Canadian counterpart to the NIH, and the Ethics Committee for the American College of Obstetricians and Gynecologists (ACOG) and the Ethics Committee of the U.S. Organ Procurement and Transplantation Network (OPTN). He has also served on the bioethics advisory groups for life sciences companies like Otsuka, Illumina, and Bayer.
You can freely download his work here, and follow him on twitter @CohenProf.

Voice Symposium & Hackathon 2025
2025-04-22 - 2025-04-24
REGISTRATION IS OPEN FOR THE 2025 VOICE AI SYMPOSIUM + HACKATHON
SUBMIT ABSTRACTS BY DECEMBER 15TH
DISCOUNTED REGISTRATION FOR B2AI MEMBERS (see below for details)

We’re excited to invite you to the 2025 Voice AI Symposium and Hackathon, presented by the NIH Common Fund’s Bridge2AI-Voice consortium! From April 22-24 in Tampa, this unique three-day event will bring together researchers, patients, clinician-scientists and top minds in artificial intelligence, bioethics, voice biomarkers, and transformative healthcare for an innovative and interactive hands-on experience.
2025 Voice AI Symposium + Hackathon
When: April 22-23 (Symposium) + Apri 24 (Hackathon)
Where: Sunny Tampa Florida! At the J.W. Marriott and the Morsani College of Medicine, Taneja College of Pharmacy and Heart Institute, Water Street
HIGHLIGHTS FROM LAST YEAR
Why Attend?
Our theme this year, “Translating AI Research into Reality: Implementing Voice Biomarkers for Transformative Healthcare”, will spotlight the real-world applications and ethical considerations of voice AI in healthcare. The symposium will feature prominent industry leaders and renowned bioethics experts, providing a valuable platform for interdisciplinary discussion and learning. Last year, we welcomed speakers from Google, Microsoft, Canary Speech, Sonde Health, Redenlab, NIH, and numerous international startups.
Highlights of the Symposium:

Interactive Panel Discussions: Engage with leaders and experts on the future of voice AI in healthcare, including ethical considerations and practical applications.

Deep Dive Workshops: Hands-on sessions designed to deepen your understanding and skill set in AI and voice biomarkers.

Tech Fair: A showcase of the latest tools and innovations in the field, allowing you to explore cutting-edge technologies up close.

Hackathon: A full day dedicated to solving real-world healthcare challenges alongside other participants, fostering collaboration and innovation.

Poster Competition: A fantastic opportunity for researchers to present their work, share insights, and receive valuable feedback from peers and experts.

Networking Event: Connect with professionals across academia, industry, healthcare, and patient advocacy. This is your chance to build valuable connections and explore collaborative opportunities.

Secure your place today and join us in Tampa for an unforgettable experience at the forefront of AI and healthcare.
B2AI members receive $100 off the cost of registration with the following code: B2AIdiscount!
Register Now: https://www.eventsquid.com/register/26215
Submit Abstracts: https://www.eventsquid.com/register/26217
We look forward to seeing you in April!
Warm regards,
Jamie Toghranegar

Jamie Toghranegar, SLPD, CCC-SLP, CBIS
Research Project Manager, Bridge2AI Voice
Speech Language Pathologist
USF Health Morsani College of Medicine
University of South Florida
12901 Bruce B. Downs Blvd.
Tampa, FL 33612

CM4AI Graph Community Detection Challenge
2025-05-14 - 2025-07-31
The Opportunity and A Call to Action
We are excited to announce the launch of the CM4AI Graph Community Detection competition on Kaggle! Participating in this challenge will give you a unique opportunity to be part of groundbreaking advancements in biomedical research as part of the Cell Maps for AI (CM4AI) initiative.
Challenge Dates: May 14, 2025 – July 31, 2025
Join the Frontier of Biomedical AI Research!
The Bridge2AI Functional Genomics Grand Challenge (Cell Maps for AI/CM4AI) is pleased to announce our Kaggle competition focused on using the data and tools generated by CM4AI and leveraging emerging AI/ML methods, such as graph and quantum machine learning, to advance biomedical science and precision medicine.
Competition Overview
The goal of this competition is to develop methods that identify communities within biological networks to uncover hidden structures and provide new insights into biological systems. By participating, you will help push the boundaries of AI/ ML applications in the life sciences.
Why Participate?

Shape the Future of Science: Successful approaches can redefine how we understand cellular systems, paving the way for innovative therapeutic strategies for cancer and other human disease.
Challenge Yourself: Engage in solving a cutting-edge problem that bridges the gap between AI/ML and molecular biology.
Be Part of a Global Community: Collaborate and compete with experts, researchers, and enthusiasts from diverse fields with mentorship from CM4AI investigators.

Key Details

CM4AI Resources: https://cm4ai.org and https://youtube.com/@CM4AI
Competition Link: https://www.kaggle.com/t/b25c9b18a199411892011bfb88680cf3
Objective: Detect and identify communities from CM4AI SEC-MS data, contributing to the Cell Maps for AI initiative.

Who Should Join?
This competition is open to anyone passionate about artificial intelligence/machine learning, computational biology, or biomedical research. Whether you’re a seasoned expert or an enthusiastic beginner, your contributions can help drive the next wave of discoveries.
Don’t miss this opportunity to be part of a transformative journey at the intersection of AI and molecular biology!

Join the Challenge Now

Spring 2025 All Hands & Open House Meeting
2025-05-20 - 2025-05-22 | NIH Neuroscience Center, 6001 Executive Blvd, Rockville, MD, 20852, United States
All Hands Conference
Our May 2025 All Hands Conference will be an opportunity for researchers and experts to engage in vibrant discussions. The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2Al) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (Al) that tackles complex biomedical challenges beyond human intuition. The biomedical research community generates a wealth of data, but most of these data are not suitable for machine learning because they are incomplete. By bringing technological and biomedical experts together with social scientists and humanists, the Bridge2Al program will help bring solutions to this deficit.
Open House
The Bridge2Al Open House will focus on collaborative approaches, learn about current considerations, explore new datasets, and discuss other key issues related to bridging the gap from biomedical information to Al. Sessions will be centered around the activities of the Bridge2Al Data Generation Projects, which stemmed from Grand Challenges put forth by the National Institutes of Health (NIH).
📋 Check out Digital Program

Bridge2AI Spring 2025 Open House
2025-05-22 | NIH Neuroscience Center 6001 Executive Blvd Rockville MD United States
Join us for the second annual Bridge2AI Open House on Thursday, May 22, 2025, in Rockville, MD! This event provides an amazing opportunity for scientists, ethicists, coders, community members, and practitioners with diverse expertise and experience levels to come together to build unique solutions that will help solve a range of relevant problems. The Bridge2AI Open House will focus on key issues related to bridging the gap from biomedical information to AI. Sessions will be centered around the activities of the Bridge2AI Data Generation Projects, which stem from the National Institutes of Health’s (NIH) Grand Challenges.
Register By: May 16, 2025
Register Here

B2AI Discussion Forum on Emerging ELSI Issues: “Ethical, Legal, and Social Implications in AI Quality Assurance and Model Validation: Case Studies and Evolving Approaches” by Shannon McWeeney, Ph.D.
2025-06-17 15:00 - 16:00 (America/New_York)

MICCAI 2025 Multi Camera Robust Diagnosis of Fundus Diseases(MuCaRD) Challenge
2025-06-30 - 2025-10-10
Introduction
Fundus imaging is an indispensable tool in primary care for the early detection of major ophthalmic diseases—such as diabetic retinopathy and glaucoma—and for guiding treatment decisions. By noninvasively visualizing the retinal vasculature and subtle changes at the optic nerve head, fundus exams also serve as indicators of systemic health, making them a first line of patient management. With the widespread adoption of high-resolution, digital camera–based fundus imaging, a variety of imaging modalities have rapidly entered clinical practice. Recently, deep-learning–based models for classifying fundus diseases have demonstrated high sensitivity and specificity and have proven their clinical utility by being integrated into numerous software medical devices (SaMD). For example, automated diabetic retinopathy screening systems and glaucoma-progression monitoring tools are already commercially available, contributing broadly to diagnostic support and patient screening. However, most models are trained and validated on data from a single camera type, which limits their performance when applied to images from new or infrequently used devices. To overcome these practical constraints, this challenge aims to develop AI models that deliver consistent diagnostic performance across diverse camera environments. Through the Multi-Camera Robust Diagnosis of Fundus Diseases (MuCaRD) challenge, we will evaluate both robust classification algorithms that generalize to unseen devices and adaptive learning techniques that can quickly fine-tune using only a few sample images from a new camera.

Challenge Description

Overview:
The MuCaRD challenge addresses a critical gap in AI‐driven fundus screening: ensuring consistent performance across both familiar and unseen camera systems. Participants will develop and benchmark models under realistic constraints—training on a limited set of images from one device and then evaluating robustness and adaptability on entirely new devices. By simulating clinical and commercial deployment scenarios, MuCaRD promotes methods that generalize beyond a single data source and can quickly fine‐tune to novel imaging hardware.

Tasks:

Task 1: Zero-Shot Classification
Train on fundus images from a single camera and evaluate on completely unseen devices. Participants perform two separate binary classifiers (glaucoma vs. normal, and referable DR vs. non-referable), submitting full model code and weights to the CodaLab platform. A hidden validation set (200 images each from Optomed Aurora, Mediworks FC162, Optos Ultra Wide, Canon CR2) and a similarly‐sized test set ensure no data leakage.
Task 2: Few-Shot Test-Time Adaptation
Extend Task 1 by leveraging a small support set (5 labeled images per new camera: 1 positive, 4 negative) provided online during validation and test phases. Models should demonstrate on-the-fly adaptation within a 10 s/image inference limit, showcasing both robustness and efficient fine-tuning.

Datasets:

AI-READI dataset: A rigorously curated set of high-resolution color fundus images acquired on Optomed Aurora and Eidon cameras across three Bridge2AI partner sites (UAB, UCSD, UW). Images span all four type 2 diabetes severity categories and include expert-verified annotations for diabetic retinopathy stage, image quality scores, and linked clinical metadata (age, sex, HbA1c, blood pressure, comorbidities). This cohort is optimized to benchmark zero-shot model performance and cross-device generalization.
Mediwhale Collection: Training from one CR2 and testing images from 5 different cameras.

Evaluation & Metrics:
Performance is measured by the average of the Area Under the ROC Curve (AUROC) and the Area Under the Precision–Recall Curve (AUPRC) for each disease. To mirror clinical feasibility, all inference and adaptation steps must complete within 10 seconds per image, though this limit does not directly penalize the score. Submissions are limited to two runs per day during validation to curtail leaderboard overfitting.

Important Dates

Training Release: June 30, 2025
Validation Submission: June 30 – August 15, 2025
Test Submission: August 15 – August 23, 2025
Winner Announcement: August 30, 2025
Workshop: October 6–10, 2025

Awards
Certificates will be presented to the top three teams in each task.
The first and corresponding authors of the winning teams will be invited to co-author the challenge summary paper and to present their results at the workshop.

Contact
For inquiries, please email: g.young@mediwhale.com

B2AI Discussion Forum on Emerging ELSI Issues: “The Pulse of Ethical Machine Learning in Health” by Marzyeh Ghassemi, Ph.D.
2025-07-15 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, July 15th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum:
“The Pulse of Ethical Machine Learning in Health“, by Dr. Marzyeh Ghassemi
Registration not required!
Additional details in the attached documents and message below.
Bio:
Dr. Marzyeh Ghassemi is an Associate Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES). She holds MIT affiliations with the Jameel Clinic, LIDS, IDSS, and CSAIL. For examples of short- and long-form talks Professor Ghassemi has given, see her Forbes lightning talk, and her ICML keynote.
Professor Ghassemi holds a Germeshausen Career Development Professorship, and was named a CIFAR Azrieli Global Scholar and one of MIT Tech Review’s 35 Innovators Under 35. In 2024, she received an NSF CAREER award, and Google Research Scholar Award. Prior to her PhD in Computer Science at MIT, she received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.
Professor Ghassemi’s work spans computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, The Boston Globe, and The Huffington Post.

Cell Maps for AI (CM4AI) CodeFest at University of Alabama Birmingham
2025-08-14 08:00 - 2025-08-15 17:00 (America/Los_Angeles) | University of Alabama at Birmingham
Are you interested in AI/ML and their applications in biomedicine and precision healthcare? Join the Functional Genomics Grand Challenge team and their group of interdisciplinary experts for the 2025 Cell Maps for AI (CM4AI) CodeFest at UAB.
This two-day, in-person event is a hands-on workshop centered on the development of team-based projects using CM4AI datasets and state-of-the-art AI/ML tools to design and test novel approaches in cancer research, drug discovery, systems biology, and precision medicine. Teams will present their projects virtually, with cash awards available for the top 3!
To register, please visit the link here.
Registration Deadline: August 6th, 2025
For questions, please contact: cm4ai@yale.edu
CodeFest Themes
Participants will collaborate in teams to build and present projects that leverage CM4AI data and tools, with guidance from mentors at UAB, Yale, UCSD, and other CM4AI institutions.
Focus areas include:

Biomedical graph networks
Graph & quantum AI/ML methods
Data embedding
Data visualization
Visible neural networks
Large language models

B2AI Discussion Forum on Emerging ELSI Issues: “Data Management in the Extremes” by Dr. Jennifer Wagner
2025-08-19 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, August 19th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Data Management in the Extremes”, by Dr. Jennifer Wagner.
Registration not required!
Additional details in the attached documents and message below.
Bio:
Jennifer K. Wagner, JD, PhD, is an Assistant Professor at Penn State University, affiliated with law, engineering, anthropology, and biomedical sciences. A licensed attorney since 2007, her interdisciplinary research focuses on the human right to science, privacy, and equity in genetic and digital health technologies. She has published over 70 articles, received NIH funding, and her work has been cited by the U.S. Supreme Court. She serves on editorial boards and national ethics committees and teaches courses on genetics law, privacy, and biomedical AI.

B2AI Discussion Forum on Emerging ELSI Issues: “Rational Health AI and Respect for Persons” by Dr. Ida Sim
2025-09-16 15:00 - 16:00 (America/New_York)
Please join us on Tuesday, September 16th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Relational Health AI and Respect for Persons”, by Dr. Ida Sim
Registration not required!
Additional details in the attached documents and message below.
Bio:
Ida Sim, MD, PhD is Professor of Medicine (UCSF) and Computational Precision Health (UCSF and UC Berkeley) and Co-Director of the UCSF UC Berkeley Joint Program in Computational Precision Health. She obtained her B.Sc. in Biology, her MD, and her PhD in Medical Informatics from Stanford. A practicing primary care physician, Dr. Sim completed her Internal Medicine internship and residency at the Massachusetts General Hospital and a fellowship in General Medicine at the Palo Alto VA.

Dr. Sim’s research is on cyberinfrastructure and policies for large-scale health data sharing and AI for managing multiple chronic conditions in primary care. She is Co-founder of Open mHealth, which defines the IEEE 1752 global open standard for patient-generated health data interoperability, and co-leads JupyterHealth, a new project bringing the Jupyter ecosystem to healthcare. She is also Co-founder of Vivli, the world’s largest platform for clinical trial data sharing. In prior work, Dr. Sim was the founding Project Coordinator of the World Health Organization’s International Clinical Trials Registry Platform and led the establishment of the first global policy on clinical trial registration.

Dr. Sim is a member of the National Academy of Medicine and the American Society for Clinical Investigation, a Fellow of the American College of Medical Informatics, and a recipient of the United States Presidential Early Career Award for Scientists and Engineers (PECASE).
