This event is part of Mathematics, Statistics, and Innovation in Medical and Health Care View Details

Machine Learning and Artificial Intelligence for Personalized Medicine

Description

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This workshop will focus on cutting-edge advances in ML and AI applied to personalized medicine and prognostic care for treatments of diseases like cancer, cardiovascular conditions and diabetes. These treatments target the needs of the individual patient on the basis of genetic, biomarker and phenotypic characteristics. ML advances used to improve other aspects of personalized care through eliciting patients’ preferences, identifying behavioral characteristics and individual decision-making patterns, and in turn use this information to improve personalized care in its entirety, will be also presented.

Organizers

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A O
Agni Orfanoudaki University of Oxford
M v d S
Mihaela van der Schaar University of Cambridge

Speakers

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D B
Dimitris Bertsimas Massachusetts Institute of Technology (MIT)
K G
Kyra Gan Harvard University
Y G
Yair Goldberg Technion – Israel Institute of Technology
X G
Xin Guo University of California, Berkeley
C H
Chris Holmes The Alan Turing Institute
N K
Nathan Kallus Cornell University
M K
Michael Kosorok University of North Carolina, Chapel-Hill
E L
Eric Laber Duke University
M L
Michael Li Harvard University
Y L
Yuan Luo Northwestern University
A M
Antonis Margonis Memorial Sloan Kettering Cancer Center
C O
Charlene Ong Boston University
P S
Pengyi Shi Purdue University
C T
Christian Tomasetti City of Hope
M v d S
Mihaela van der Schaar University of Cambridge
S W
Stefan Wager Stanford University
A Y
Adam Yala Massachusetts Institute of Technology (MIT)
A Z
Anru Zhang Duke University
J Z
Jiwei Zhao University of Wisconsin-Madison

Registration

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