Title: Frontiers of Predictive Oncology and Computing II Meeting

Date: Tuesday, October 17th, to Thursday, October 19th, 2017

Location: SUNY Global Center, New York, NY

URL: http://www.cvent.com/d/05qn91 

Abstract (DRAFT): Computational Pathology encompasses linked morphological and molecular tissue characterization. Cancer is a complex multi-faceted disease characterized by heterogeneous coupled tumor and stroma niches and by complex patterns tumor/host immune modulation and response. Accurate multi-scale tissue characterization is crucial to understanding of tumor heterogeneity and immune response. Gaining an understanding of multi-scale systems biology of cancer will play a central role in development, selection and personalization of targeted and immune therapies. Experimental data driving these efforts range from universally acquired Pathology studies scanned in using now inexpensive whole slide imaging platforms to data obtained using high end platforms capable of acquiring combined morphological and highly multiplexed molecular data. 

Tissue analysis and modeling is both computation and data intensive – many crucial tasks have resource requirements that extend into and beyond the exascale range. The workshop will bring together researchers to shed light on relationship between cancer signaling pathway alternations, tumor niches, tumor immune suppression and host immune response. The focus of the workshop will be on developing a research agenda to drive computational pathology experimental design, cancer population studies and computational modeling.