Cancer and Epigenetics Institute
Fox Chase Cancer Center
Philadelphia, PA
Hayan.Lee@fccc.edu
Department of Biology
Temple University
Philadelphia, PA
robkulathinal@temple.edu
Computer & Information Sciences
Temple University
Philadelphia, PA
mindyshi@temple.edu
Dr. Shen is a Professor and the Deputy Director of the Informatics Division in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University of Pennsylvania.
College of Public Health Temple University
Assistant Professor, Cancer Epigenetics Institute, Fox Chase Cancer Center
Professor of Pathology and Laboratory Medicine, Institute for Biomedical Informatics, University of Pennsylvania
Laura H. Carnell Professor Director, iGEM
8:30- 8:40 Introduction and Welcome - (Hayan Lee)
Session 1 (Chair: Rob Kulathinal)
8:40- 9:10 Keynote speaker - Harnessing AI and Informatics for Precision Medicine in Dementia (Li Shen, PhD)
9:10- 9:30 Research Talk 1 - EnsembleAge Clock: A reliable and robust epigenetic age clock service (Hayan Lee, PhD)
9:30- 9:50 Research Talk 2 - AI for Better Aging: Personalizing Smart Care for Rare ALS (Huanmei Wu, PhD)
9:50-10:20 Coffee Break
Session 2 (Chair: Hayan Lee, Rob Kulathinal)
10:20-10:40 Research Talk 3 - Multi-omics to decipher neuron degeneration (Lu Chen, PhD)
10:40-11:00 Research Talk 4 - Generative AI for Genomics and Epigenomics (Mindy Shi, PhD)
11:00-11:30 Keynote speaker - Large Language Models for improving phenotype-driven rare disease diagnosis (Kai Wang, PhD)
11:30-12:10 Panel discussion (All speakers and Rob Kulathinal)
Gold Sponsors
Silver Sponsors
Nooshin Kianvashrad said, "Among all the workshops I attended on the first day of ACM-BCB, I found AI4OmicsAC the most engaging. I particularly enjoyed the presentations — the keynote talks were truly at the cutting edge of science and research and deeply motivating."
Seyed Mehedi Azim said, "I was able to attend one complete talk which was by Dr Wang and found that really impressive. He talked about the research in his group focusing on Large Language Models for improving phenotype-driven rare disease diagnosis where he discussed a few methods they developed so far which was really great."
Session 1
Session 2
Coffee Break with Our Sponsors
Panel Discussion