Research and Application of Artificial Intelligence in Pathological and Genomic Computing

            CSE Distinguished Seminar

Speaker:   Dr. Jianhua YAO
           Chief Scientist
           Tencent AI Lab

Title:    "Research and Application of Artificial Intelligence in
           Pathological and Genomic Computing"

Date:      Monday, 29 April 2024

Time:      4:00pm - 5:00pm

Venue:     Lecture Theater F
           (Leung Yat Sing Lecture Theater), via lift 25/26


This talk will provide an overview of the research and development
conducted at Tencent AI Lab in the field of AI for life sciences, with a
specific focus on two key areas: pathological analysis and genomic
computing. Pathology serves as the gold standard for accurate diagnosis,
prognosis, and treatment management. However, pathology diagnosis is
complex and subjective and there is heavy shortage for trained
pathologists. Genes, as the fundamental elements of life, play a pivotal
role in determining inheritance, diseases, appearance, and aging in living
organisms. The exponential growth of medical and biological data,
surpassing Moore's Law, necessitates the development of new AI algorithms
capable of analyzing vast and complex medical and biological data. This
talk will delve into the advancements made in AI algorithms to enhance the
analysis of pathology and genomic data, along with their clinical
applications in disease diagnosis, drug development, and therapy,
highlighting their potential to revolutionize the field of life sciences.


Dr. Jianhua YAO is a fellow of American Institutes of Medical and
Biological Engineering (AIMBE). He is currently the Chief Scientist of AI
Healthcare at Tencent AI Lab. His research interests include medical
imaging, computational genomics, precision medicine and surgical
navigation. His papers were cited more than 19,000 times according to
Google Scholar, with a h-index of 57, and listed in the top 2% of
scientists worldwide in both "Career-Long Achievement" and "Single Year
Achievement" categories based on the Elsevier data repository. He serves
as associate editors for several AI medical journals and special issues,
and area chairs for several AI conferences. He holds a Ph.D. in Computer
Science from the Johns Hopkins University, USA.