PATHOLOGY VISIONS 2015 PRESENTER
 



Andrew H. Beck, MD, PhD
  
Beth Israel Deaconess Medical Center and Harvard Medical School

  

Presenting:  
Computational Pathology to Integrate Large and Heterogeneous Data-sets for Data-driven Predictive Diagnostics 


Abstract: Our lab is developing methods to integrate advanced microscopy, computer vision, bioinformatics, and machine learning to build data-driven predictive cancer diagnostics. We will present work focused on our development of technologies for: automated analysis of morphology and biomarker expression from the normal breast and breast cancer; automated diagnosis of early breast neoplasia; analysis of advanced 3D microscopy for classification and risk prediction in early breast neoplasia; and construction and analysis of genomewide epithelial-stromal co-expression networks incorporating transcriptomic and morphologic data. Our overall goal is to build new tools to improve the ability of researchers and pathologists to build and integrate heterogeneous large data sets from tissue samples to better understand disease biology and better predict clinical outcomes.


Biography: Andrew Beck MD, PhD is an Assistant Professor atHarvard Medical School in the Department of Pathology at Beth Israel Deaconess Medical Center (BIDMC), the Director of Bioinformatics at the Cancer Research Institute at BIDMC, the Director of the Molecular Epidemiology Research Lab at BIDMC, and an Associate Member of the Broad Institute. He completed his residency in Anatomic Pathology and clinical fellowship in Molecular Genetic Pathology from Stanford in 2010. He then joined the Advanced Residency Training at Stanford program and completed a PhD in Biomedical Informatics from Stanford University in 2013. Dr Beck's laboratory is focused on developing methods in computational pathology and molecular pathology to solve problems in cancer research, leading to improved diagnostics and therapeutics for cancer patients.



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