AI in Health Care Research and Practice

Subjects and Speakers

Each session’s topic seeks to promote an exchange of knowledge and experiences amongst participants, and to inspire new lines of research across borders.

The speakers are prestigious professors who have extensive teaching and research experience and whose work has been widely published in their respective fields. Sessions are structured around the presentation of articles, case studies, and work of the speakers themselves, presenting reviews of their work and the current state of issues involved

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

Jie Yang
Jie Yang
Assistant Professor of Medicine
Brigham and Women's Hospital

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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