The Cancer Informatics track explores the important technology, informatics trends, and challenges of applying computational biology to cancer research and care. Themes that will be covered in expert-led presentations include: collaboration
and network models; data access/management/integration strategies; and applications of biological interpretation to aid in research at the benchside or care at the bedside. Most clinical diagnoses involve the use of clinical testing, much of which
is not standardized locally/nationally/internationally. How do your approaches address this reality?
Talk Title to be Announced
John Quackenbush, PhD, Henry Pickering Walcott Professor of Computational Biology and Bioinformatics; Chair, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Precision Cancer Medicine
Jeffrey Rosenfeld, PhD, Manager, Biomedical Informatics Shared Resource and Assistant Professor of Pathology and Laboratory Medicine, Rutgers Cancer Institute of New Jersey; President, Rosenfeld Consulting LLC
Building an Artificial Intelligence-based Vaccine Discovery System- Applications in Infectious Diseases & Personalized Neoantigen-related Immunotherapy for Treatment of Cancers
Kamal Rawal, PhD, Associate Professor, Amity University, India; Adjunct Faculty, Baylor College of Medicine, Houston, USA
Deciphering the Complex Heterogeneity of Cancer
Patrice Milos, PhD, Co-founder, President and CEO, Medley Genomics, Inc.
M2A: DNA Methylome Reveals Genome-wide Promoter Activities in Individual Tumors and Captures Tumor-Type-Specific Promoter Usages
Xiang Chen, PhD, Assistant Member, Computational Biology, St. Jude Children's Research Hospital
Cascadia Data Discovery Initiative: Accelerating Health Innovation and Cancer Research Through Collaboration, Data Sharing, and Data-driven Research
Matthew Trunnell, Vice President and Chief Data Officer, Fred Hutchinson Cancer Research Center