AI in Healthcare
AI in Healthcare
Our panel discussion on AI in healthcare brings together esteemed experts to delve into the
transformative power of artificial intelligence in the medical and life science fields. Our
distinguished panel comprises leading voices from healthcare, technology, and research, each
bringing a unique perspective to the table. From predictive analytics to personalized treatment
recommendations, AI is revolutionizing how we approach patient care, drug discovery, and
disease management. Throughout this session, we aim to explore the opportunities, challenges,
and ethical considerations surrounding the integration of AI into life science companies as well
as healthcare practices. Join us as we navigate the complex intersection of cutting-edge
technology and compassionate, equitable healthcare delivery.
MODERATOR:
Jeffrey N. Hausfeld M.D., M.B.A., F.A.C.S.
Chairman of the Board of Directors and Chief Medical Officer– BioFactura Inc.
Jeffrey Hausfeld, M.D., M.B.A., F.A.C.S., has served on the national board and committees of specialty medical societies since he began his practice in Otolaryngology/Facial Plastic Surgery in 1982. He is an Associate Clinical Professor of Surgery at George Washington University School of Health Sciences and an alumnus of the Yale University School of Medicine. Dr. Hausfeld is widely published in the medical literature, is the pioneer of innovative laser surgery techniques, is the author of a lay oriented medical book, and has appeared on numerous local and national television and radio shows as a medical expert. Read full profile…
PANEL:
Michael McShea
Chief Scientist for the Health and Human-Machine Systems Group, Johns Hopkins Applied Physics Laboratory (APL)
Michael McShea is a Chief Scientist for the Health and Human-Machine Systems Group at the Johns Hopkins Applied Physics Laboratory (APL) supporting the National Health Mission Area. In this role, he works with the Military Health System, Johns Hopkins Medicine, other Academic Medical Research Organizations and civilian federal agencies on population health, precision health, telehealth, clinical decision support, AI, and digital health initiatives. Relevant research includes applying machine learning to population health predictive analytics, design for autonomous medical systems, modeling human performance of military medical personnel, and developing clinical decision support for point of care medical readiness assessments in the Military Health System. Read full profile…
Fabien Vaucheret
Senior Solutions Architect, Databricks
Fabien Vaucheret is a Senior Solutions Architect at Databricks, specializing in working with emerging digitally-native businesses in the healthcare and life sciences space. He provides expert data architecture guidance through the Databricks Intelligence Platform with a focus on building a state-of-the-art data landscape that can support advanced data use cases such as Generative AI, ultimately helping customers achieve their goals like enhancing operational efficiency and patient outcomes. Read full profile…