AI in Health Care Research and Practice

Subjects and Speakers

Each session is designed to encourage the exchange of knowledge and experiences among participants while inspiring new cross-border lines of research.

The programme features distinguished professors with extensive teaching and research experience, whose work has been widely published in their fields. Sessions include presentations of articles, case studies, and the speakers’ own research, providing participants with insight into both their work and current developments in the field.

DATA PRIVACY IN HEALTH AND GENOMICS

Salil Vadhan
Salil Vadhan
Vicky Joseph Professor of Computer Science and Applied Mathematics

Harvard John A. Paulson School of Engineering and Applied Sciences

REAL WORLD DATA TO INFORM HEALTH CARE RECOMMENDATIONS

Vipul Chitalia
Sonia Hernandez-Diaz
Professor, Department of Epidemiology, Harvard T.H. Chan School of Public Health

INTERSECTION OF SCIENCE AND CHALLENGES OF HEALTH CARE SYSTEM

Vipul Chitalia
Vipul Chitalia
Associate Professor of Medicine
Renal Section,
Boston University School of Medicine
Director,
Center of Cross-Organ Vascular Pathology

AI FOR MEDICAL IMAGING

Jeffrey Duryea
Jeffrey Duryea
Associate Professor, Radiology, Brigham and Women’s Hospital
Affiliate of Harvard Medical School

THE MECHANISMS OF TUMOR EVOLUTION TO IDENTIFY PREDICTIVE MODELS TO MONITOR TUMOR INITIATION AND PROGRESSION

Matthew G. Jones
Matthew G. Jones
Assistant Professor Department of Biology at MIT Koch Institute for Integrative Cancer Research at MIT

FROM CELLS TO ORGANS TO PATIENTS – SIMULATING HEALTH AND DISEASE

Mercedes Balcells-Camps
Mercedes Balcells-Camps
Principal Research Scientist, Massachusetts Institute of Technology
MIT-Spain Program co-Founder and Director

LARGE LANGUAGE MODELS (LLMS) IN HEALTHCARE RESEARCH

Yanmin Zhu
Yanmin Zhu
Instructor
Harvard T.H. Chan School of Public Health

HUMAN SYSTEMS ENGINEERING: FROM EARTH TO SPACE AND BACK TO FIGHT DISEASE

Lonnie G. Petersen
Lonnie G. Petersen
Charles Stark Draper Associate Professor of Aeronautics and Astronautics
MIT Institute for Medical Engineering & Science

A ROADMAP FOR RESPONSIBLE MACHINE LEARNING FOR HEALTH CARE

Marzyeh Ghassemi
Marzyeh Ghassemi
Core Faculty- Germeshausen Career Development Professor
Associate Professor, Electrical Engineering and Computer Science and Institute for Medical Engineering & Science (MIT)


VISIT SOME OF THE LABORATORIES WHERE THE TECHNOLOGIES OF THE FUTURE ARE BEING DEVELOPED

 


*Information is subject to change


*Sessions are conducted in English and require active participation of all attendees. Required readings are also in English. For more details or questions, write to: iap.symposia@uam.es



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