SVP & GM, Translational Artificial Intelligence, Tempus
Biography
Abdul Hamid Halabi heads up the Translational Artificial Intelligence business for Tempus Labs, a leader in AI & Precision Medicine. Abdul drive the strategy for digital and AI solutions across oncology, urology and pathology. Abdul is building Tempus Edge, platform to bring Actionable AI applications to pathology supporting Precision Medicine initiatives for Patients. In addition, Abdul Launched Tempus LENS, data and AI precision medicine platform enabling scalable access to genotypic and phenotypic data and rapid insight for the life science community.
AI and Data Science Showcase:
Tempus
Tempus, a technology company advancing precision medicine through artificial intelligence. With one of the world’s largest libraries of clinical and molecular data, an operating system to make it accessible, Tempus enables physicians to deliver personalized care and facilitates discovery, development and delivery of optimal therapeutics.
Actionable AI: Empowering the Stewards of Precision Medicine
Use Cases of AI that enable pathologists to do what they couldn't before; Predicting Molecular Features from H&E slides surfacing targeted therapies and clinical trials for their patients.
Session Abstract – PMWC 2022 Silicon Valley
Track Chairs:
Sharmila Majumdar, UCSF
The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.
Sessions:
- AI Roadmap: Opportunities and Challenges (PANEL)
Session Chair: Sean Khozin, CancerLinQ
- Matthew Lungren, AWS
- Patrick Loerch, Gilead
- Daniel J. Arbess, Xerion Investments LLC
- Nigam Shah, Stanford
- Chris Gibson, Recursion - Actionable AI: Empowering the Stewards of Precision Medicine
- Abdul Halabi, Tempus - Technical Advancements in Clinical Machine Learning - What's New in 2022 (PANEL)
Session Chair: Sharmila Majumdar, UCSF
- Matthew Lungren, AWS - Jayashree Kalpathy-Cramer, Harvard
- John Mongan, UCSF - Image Applications for Clinical Diagnosis
Session Chair: Esther L. Yuh, UCSF
- Thorsten Fleiter, U. of Maryland
- Imon Banerjee, Mayo Clinic
- Pratik Mukherjee, UCSF
- Lawrence Schwartz, Columbia University Medical Center - The Impact of AI and High-Resolution Digital Slide Imaging
Session Chair: Juan C. Santa Rosario, Coreplus
- Mariano de Socarraz, Coreplus
Session Chair: Fatemeh Zabihollahy, UCLA
- Akshay Chaudhari, Stanford
- Mona Flores, NVIDIA
- Kilian Koepsell, Caption Health
- Eric Horler, AIQ Solutions
