Speaker Profile
PhD, Professor in Computer Science and Health Policy and Management, Johns Hopkins U.
Biography
Suchi Saria is a highly respected computer scientist and healthcare researcher who currently serves as the John C. Malone endowed chair and professor in the Departments of Computer Science, Medicine, Health Policy and Management at Johns Hopkins University. She is also the founding director of the Machine Learning, AI and Healthcare Lab at Johns Hopkins, where she leads a team of researchers dedicated to using machine learning and AI to improve healthcare outcomes. Professor Saria is known for her outstanding contributions to the precision medicine field through the development of AI algorithms and systems for clinical decision making. Her work in predicting patient deterioration and providing personalized treatment recommendations has had a significant impact on patient care in critical care settings. For her contributions to the field of AI, machine learning and healthcare, Professor Saria has received various awards and honors.
Session Abstract – PMWC 2024 Silicon Valley
Track Co-Chairs:
Russ Cucina, UCSF
John Kalafut, Asher Orion Group
- PMWC 2024 Award Ceremony
Luminary Honoree: Suchi Saria, Johns Hopkins - Integrated Diagnostics: The Future Powered by AI and Data Innovations
- John Kalafut, Asher Orion Group
- AI-Driven Integration of Genomic Data for Disease Understanding and Treatment
- Mark Yandell, University of Utah
- AI, Big Data and the Early Detection/Prevention of Chronic Diseases
- Lee Hood, Phenome Health - AI in US Military Healthcare System
- Peter Walker, Defense Health Agency (DHA) - Health IT and Interoperability Policy (PANEL)
Chair: Russ Cucina, UCSF
- Steven Lane, Gorila Health
- Charles Jaffe, HL7
- Alan Swenson, Sequoia Project
- Neli de Crescenzo, Optum
- Julia Adler, UCSF - Barriers and Challenges of Deploying AI into Clinical Use (PANEL)
Chair: Shweta Maniar, Google
- Bernardo Bizzo, Mass General Brigham
- Guido Matthews, Bayer
- Tina Hernandez-Boussard, Stanford - Transforming Healthcare Using Big Data and Remote Monitoring
- Michael Snyder, Stanford
- AI to Improve Patient Outcomes: Exploring High-Speed Genomic Insights with GPU-Accelerated Tools
Chair: Julie Gil, Velsera
- Jason Fenwick, NVIDIA - AI Pathology's Horizon: Navigating the Future and Overcoming Obstacles (PANEL)
Chair: Pavankumar Anne, ZS
- Eric Walk, PathAI
- Michael Rivers, Roche Diagnostics - PMWC Showcase
- Elliott Green, Dandelion Health
- Tomasz Jetka, Ardigen
- Peter White, Nationwide Children's Hospital
