Vikas Pejaver, Ph.D.;
Postdoctoral Scholar, Department of Biomedical Informatics and Medical Education, University of Washington
Machine Learning on Secondary Data for Rare Genetic Diseases
Nathan Hotaling, Ph.D.;
Vice President of Data Science, Axle Informatics &Senior Data Scientist, National Center for Advancing Translational Science
Non-Invasively Predicting Function and Identity of a Tissue Engineered Therapy for Macular Degeneration
Mary Saltz, M.D.;
Clinical Assistant Professor, Department of Biomedical Informatics, Stony Brook University
The Use of Data Driven Tools to Answer Population Health Questions
Rina Tannenbaum, Ph.D.;
Professor, Department of Materials Science and Engineering, Stony Brook University
The Use of Surface Enhanced Raman Spectroscopy in the Detection and Delineation of Breast Cancer Cells
Jun Wang, PhD;
Assistant Professor, Department of Biomedical Engineering, Multiplex Biotechnology Laboratory, Stony Brook University
Single-Cell Functional Proteomics for Analysis of Molecular Signatures of Small Samples
Tengfei Ma, PhD;
Research Staff Member, IBM T.J. Watson Research Center
Deep Learning for Computational Healthcare: EHR Phenotyping and DDI Prediction
Yifan Peng, PhD;
Research Fellow, National Center for Biotechnology Infor- mation (NCBI)/National Library of Medicine (NLM)/National Institutes of Health (NIH)
Clinical Natural Language Processing and Deep Learning in Assisting Medical Image Analysis
Jonas Almeida, PhD;
Chief Data Scientist, Division of Cancer Epidemiology & Genetics, National Cancer Institute
Data, Analyze Thyself!
Anupama Reddy, PhD;
Founder & CEO, Prism Bioanalytics LLC
Precision Medicine through the lens of Machine Learning: Why one Model does not Fit all Data
Richard Moffitt, PhD;
Assistant Professor, Department of Biomedical Informatics, Stony Brook University
Artificial Intelligence in Healthcare: How Does It Work?
