Speaker Profile
Ph.D., CEO, Quibim
Biography
Angel Alberich-Bayarris has 15 years of experience in the field of medical imaging and computer vision, he possesses deep knowledge of the challenges and opportunities in diagnostics and drug development. He has worked in the development of several algorithms for Imaging Biomarkers analysis that promoted the creation of the company QUIBIM (Quantitative Imaging Biomarkers in Medicine), focused in the creation of a platform for the analysis of Imaging Biomarkers. He is a member of the board of the European Society of Medical Imaging Informatics (EUSOMII) and of the e-Health and Informatics Subcommittee of the European Society of Radiology (ESR). Alberich-Bayarri is the author of more than 100 articles in prestigious international journals, author of 20 book chapters and editor of 2 books. He received the MIT Innovators Under 35 award in 2015.
Talk
this lecture will explore the critical needs for advancing standard-of-care imaging and how AI is enabling new capabilities in patient stratification and the development of prognostic and predictive tools. We will show how MRI, CT, and PET imaging can be elevated thanks to AI to extract actionable insights for better patient stratification and precision diagnostics.
Session Abstract – PMWC 2025 Silicon Valley
Track Co-Chairs:
Cherodeep Goswami, UW Health
- PMWC 2025 Award Ceremony
Pioneer Honoree: Paul J. Chang, University of Chicago - Keynote: AI in Radiology: A Reality Check (Climbing out of the Trough of Disillusionment)
- Paul J. Chang, University of Chicago
- AI in Radiology and Imaging Applications (PANEL)
Chair: Curtis P Langlotz, Stanford
- Paul J. Chang, University of Chicago
- Sharmila Majumdar, UCSF
- Eliot Siegel, VA Maryland Healthcare System
- Katherine Andriole, Brigham and Women's Hospital - Using Imaging AI to Better Understand Health and Aging
- Daniel Durand, Prenuvo
- AI Transforming Standard-of-Care Imaging into Precision Diagnostics
- Angel Alberich, Quibim
- Accelerating Risk Assessment and Diagnosis with AI
Chair: Pavan Anne, ZS
- Omar Perez, AstraZeneca
- Charles Powell, Mount Sinai - Overcoming Practice Gaps in Precision Medicine: Addressing Patient Leakage (PANEL)
Chair: Joe Zaccaria, KPMG
- Ed Kim, City of Hope
- Chris Scotto DiVetta, Tempus
- Karlo Martin, HCA Healthcare
- Shared Opportunities to Unlock AI's Potential in R&D (PANEL)
Chair: Brice Sarver, ZS
- Carlyn Crisostomo, Amgen
- Bill Mayo, BMS
- Stacie Calad-Thomson, Nvidia
- AI-Powered Remote Monitoring and Mental Health: Innovations and Challenges
- Sam Perli, ThinkHat
- Shah Nawaz, Regeneron
- David Rhew, Microsoft
- AI Unlocks the Clinical Utility of Spatialomics
- Matthew Goldberg, Castle Bio
- Practical Implications of Ethical Challenges in AI-driven Precision Medicine(PANEL)
Chair: Cherodeep Goswami, UW Health
- Tina Hernandez-Boussard, Stanford
- Lucia Savage, Omada Health
- Sean Hain, Epic
- Misha Mehta, Neev Kolte & Brave Ronil Foundation
