Artificial Intelligence for Pathology
Pathology plays a critical role in the diagnosis of disease and the development and implementation of tissue-based prognostic and predictive biomarkers. In this talk, Andrew H. Beck will discuss the potential for recent advances in artificial intelligence to significantly advance the accuracy, reliability, and predictiveness of pathology with applications to both clinical research and practice.
Andrew H. Beck earned his MD from Brown Medical School and completed residency and fellowship training in Anatomic Pathology and Molecular Genetic Pathology from Stanford University. He completed a PhD in Biomedical Informatics from Stanford University, where he developed one of the first machine learning–based systems for cancer pathology. He has been certified by the American Board of Pathology in Anatomic Pathology and Molecular Genetic Pathology. Prior to cofounding PathAI, Beck was on the faculty of Harvard Medical School in the Department of Pathology at Beth Israel Deaconess Medical Center. He has published over 110 papers in the fields of cancer biology, cancer pathology, and biomedical informatics.
Akila Viswanathan, Director, Johns Hopkins Radiation Oncology and Molecular Radiation Sciences; Professor of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine
Harvard Radcliffe Institute gratefully acknowledges the following funds that are supporting this event:
Mary E. and Clara Z. Costanza Fund for Science
Melanie Mason and David W. Niemiec Fund for Science