Cancer Care in the Age of AI: Imaging, Molecule, and Beyond

Speaker: Dr. Mu ZHOU
         Research Head, AI healthcare, SenseTime
         and
         Visiting faculty member, Rutgers University

Title:  "Cancer Care in the Age of AI: Imaging, Molecule, and Beyond"

Date:   Wednesday, 22 March 2023

Time:   10:30am - 11:30am

Venue:  Room 2405 (via lift 17/18), HKUST

Abstract:

Linking different types of clinical data promises to bridge the data
isolated in medicine, leading to novel insights about disease diagnosis,
prognosis, and better healthcare. In this seminar, I will first talk about
AI studies in real-world settings that leverage multi-center images for
predicting survival status of lung cancer patients. Then I will talk about
image-to-genome research in the context of cancer tissue environment to
impact decision making on targeted therapy. Third, I will share our
research on integrating chemical structure of drugs and multi-comics
profiles for assessing cancer drug response. Altogether, this talk will
discuss key perspectives in which we can advance clinical AI to be more
ready for widespread, real-world use. Ongoing multi-modality data
challenges and emerging opportunities will be discussed in related areas


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Biography:

Dr. Mu Zhou is broadly interested in machine learning, medical image
analysis, and computational biology. Dr. Zhou serves as a research head
for AI healthcare at Sensetime. Meanwhile, he holds a visiting faculty
position at Rutgers University, New Jersey. His major research focuses on
analyzing and processing multi-scale biomedical data across radiology,
pathology, and bioinformatics in oncology. He was a research scientist and
a postdoctoral fellow at Medical School, Stanford University, where he led
the research of linking imaging and high-throughput RNA expression in lung
cancer. He received his Ph.D. degree in computer science and engineering
from University of South Florida, Tampa, where he pioneered image-based
analysis for non-invasive outcome prediction of cancer patients. He has
authored numerous publications, such as Nature Machine Intelligence,
Lancet Digital Health, Radiology, Bioinformatics, Medical Image Analysis,
etc.