SBU BMI has strong presence at AMIA 2017 Joint Summits on Translational Science

SBU BMI has strong presence at AMIA 2017 Joint Summits on Translational Science (American Medical Informatics Association)


Our Biomedical Informatics faculty were invited to serve on one panel and to present two papers, plus a BMI doctoral student’s paper was selected for competition at this unique venue promoting innovation and networking among experts in Translational Bioinformatics, Clinical Research Informatics and Informatics Implementation.  The American Medical Informatics Association’s AMIA 2017 Joint Summits on Translational Science is March 27-30 in San Francisco.

Their schedule reveals significant input from SBU’s BMI Department:

2017 Joint Summits Papers – Data Processing for Discovery

Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research

J. Saltz, J. Almeida, Y. Gao, Stony Brook University; A. Sharma, Emory University; E. Bremer, T. DiPrima, T. Kurc,  M. Saltz, Stony Brook University; J. Kalpathy–Cramer, Massachusetts General Hospital


Development of a Framework for Large Scale Three-dimensional Pathology and Biomarker Imaging and Spatial Analytics

Y. Liang, F. Wang, P. Zhang, J. Saltz, Stony Brook University; D. Brat, J. Kong, Emory University

CRI Student Paper Competition

Spatio-temporal Analysis for New York State SPARCS Data

X. Chen, Y. Wang, Stony Brook University; E. Schoenfeld, M. Saltz, J. Saltz, Stony Brook School of Medicine; F. Wang, Stony Brook University

2017 Joint Summits Panel – Information Technology Powering Cancer Research for Discovery and Novel Hypothesis Generation

S. Madhavan, Georgetown University; J. Saltz, Stony Brook University; G. Jiang, Mayo Clinic; H. Xu, University of Texas Health Science Center at Houston


Description:  There is a critical need to develop research-driven informatics technology across the development lifecycle to address priority needs in cancer research and management. These technology platforms are required to support study design, data collection, processing, analysis, interpretation, clinical decision support and novel hypothesis generation. The National Cancer Institute is supporting various technology platforms in these contexts to drive cancer data sharing, clinical translational research, promote interdisciplinary science among other goals. This thematic panel will highlight four projects that are developing technology infrastructure and tools for cancer research in areas of clinical genomics, image analysis, natural language processing and data standards. In this panel, we highlight four cancer technology development projects that describe various platforms that demonstrate the use of computational methods, tools and framework to drive discovery in the era of rapidly accumulating big data.

Also of note, The Poster Session features a contribution by National Cancer Institute personnel regarding a program in which Stony Brook is a funded primary awardee and active participant:

The National Cancer Institute (NCI) Informatics Technology for Cancer Research Program (ITCR)

J. Klemm, M. Heiskanen, J. Li, D. Miller, C. Patriotis, G. Redmond, M. Ossandon, J. Capala, L. Mechanic, Y. Zhang, R. Divi, T. Dickherber, W. Kibbe, National Cancer Institute