Pre-cancer Phenotyping Using Transcriptomics and Digital Pathology
Join Drs. Jennifer E. Beane-Ebel and Vijaya B. Kolachalama of Boston University as they discuss their studies of pathological and molecular alterations associated with lesion severity and progression.
Topics include deep learning methods for characterizing the pathology of premalignant lesions, which precede invasive carcinoma, and lung cancer specimens.
The Human Tumor Atlas Network (HTAN) consists of 10 research centers seeking to identify the molecular and cellular conditions that cause healthy cells to become cancerous and that drive critical transitions in advanced cancers. Both speakers support the Lung Pre-Cancer Atlas: the particular HTAN research network that consists of university collaborators who seek to study and address lung cancer in its premalignancy (conditions that have the potential to progress to cancer) status.
The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.
Dr. Beane-Ebel is an associate professor at the Boston University Chobanian & Avedisian School of Medicine. She operates on a team that currently uses single-cell technologies to understand how smoking alters the cellular architecture of the bronchial epithelium and the immune microenvironment.
Dr. Kolachalama is an associate professor at the Boston University Chobanian & Avedisian School of Medicine. He is also a member of the Whitaker Cardiovascular Institute and the Evans Center for Interdisciplinary Biomedical Research of Boston University. He earned his B.S. from the Indian Institute of Technology and his Ph.D. from the University of Southampton.
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