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Bringing together healthcare professionals, AI researchers, and global health experts to explore innovative solutions for underserved communities worldwide.
The AI in Healthcare for Low-Resource Settings Conference brings together researchers, clinicians, technologists, and entrepreneurs from across the Bay Area and beyond.
Our focus: How can AI bridge the healthcare gap in low-resource and underserved communities?
Leveraging machine learning for accurate diagnosis in resource-constrained environments
Automated systems that adapt to local healthcare infrastructure and capabilities
Mobile-first solutions bringing advanced healthcare to remote communities
Addressing psychological wellbeing in underserved regions through AI
Ensuring responsible AI deployment with cultural sensitivity
Real-world implementations across diverse healthcare systems
Join the conversation shaping the future of healthcare AI in underserved communities
Learn from industry leaders and top-tier academicians, engage with innovators from Google, Apple, Stanford U, UCSF, UC Berkeley, Santa Clara University etc.
Deep discussions on diagnostics, ethics, and global health applications with leading experts.
Connect with startups, NGOs, and corporate leaders building AI solutions for real-world problems.
Learn about career paths, mentorships, and opportunities in the rapidly evolving AI and healthcare landscape.
Industry leaders, researchers, and innovators shaping the future of healthcare AI
Note: Confirmed names will be updated as invitations are accepted
Associate Dean of Research and Professor of Medicine, Surgery, and Biomedical Data Science
Stanford University.
Senior Associate Vice Provost for Research, Professor of Radiology. President of the Radiological Society of North America
Director, Stanford AIMI
Dean of Engineering
Santa Clara University
Director, Bioethics Program at the Markkula Center for Applied Ethics
Santa Clara University
Senior Lecturer, MIT.
Founder & CEO
Clinlab.AI Inc
Former Global Director
NVDIA AI Healhcare
Scientist, Stanford University
Founder, Medical Pioneers in Innovation, Investor
CEO, Mederva Health
Radiologist at Stanford University
Founder, Mental Health Innovation Platform
Investor, Synapses Ventures
Chief AI Officer
Basys.AI
(Former Co-Director Stanford AIMI)
PhD Candidate at Stanford
Fulbright, ex-Microsoft
Assistant Professor
San Jose State University
Chief AI Research Scientist, Megalabs
Assistant Professor
Department of Bioengineering
Santa Clara University
Chief Bussiness Officer
Internal Medicine, Healthcare AI Developer
Leading Google’s global health AI initiatives and research into scalable healthcare solutions.
Senior Director, Digital Health Strategy
Expert in digital health strategy and AI implementation in clinical settings.
Co-Founder & CEO
Pioneer in AI-driven healthcare solutions for chronic disease management.
VP, Google Research
Leading the development of AI-powered mobile clinic solutions for underserved areas.
VP, Google Research
Innovators in AI-powered mental health solutions for accessible care.
VP, Google Research
Leading researchers from top Bay Area universities working on healthcare AI.
THINK – Santa Clara 2025
Theme: AI in Healthcare for Low-Resource Settings
Welcome reception and networking
Santa Clara University & Organizers
Dr. Murat Baday
Dr. Kendra Sharp
Dr. Murat Baday
Dr. Hamed Akbari
Dr. Abdul Hamid Halabi
Speakers: Dr. Abdul Hamid Halabi, Dr. Mohammed Kaleel
Moderator: Dr. Yasin Ceran
Speakers: Dr. Alaa Youssef, Guadalupe Hayes-Mota
Moderator: Dr. Prashanth Asuri
Merve Cerit Burgoon
Dr. Curtis Langlotz
Dr. Yasin Ceran
Panelists: Dr. Tina Hernandez-Boussard, Murat Baday, Dr.Carolina Garcia Rizo
Moderator: Dr. Mohammed Kaleel
Conference wrap-up and next steps
Dr. Murat Baday
Dr. Prashanth Asuri
Join us at Santa Clara University in the heart of Silicon Valley
500 El Camino Real
Santa Clara, CA 95053
California Mission Room
Located in the basement of the Benson Memorial Center, the California Mission Room serves as a meeting area for University functions.
Detailed venue information and campus navigation will be provided to registered attendees closer to the event date.
Exploring how artificial intelligence can transform healthcare in low-resource settings worldwide.
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