As the field of health care continues its march toward precision medicine, new infrastructure and resources are needed to advance the effective use of biomedical data and information to improve human health. The Biomedical Data Science Initiative (BDSI) at the Icahn School of Medicine at Mount Sinai (ISMMS) seeks to bridge research and educational endeavors in computing and big data analytics across various departments and institutes in order to pursue insights that will better the lives of patients and their families. In addition to providing an intellectual home for collaborative data-driven research, it offers outstanding computational training to postdocs and graduate students through a variety of Master’s, PhD, and post-graduate programs.
The BDSI at ISMMS comprises a network of specialized areas, including Computational Genomics; Computational Biophysics and Systems Pharmacology; Biomedical Engineering, Imaging, and Visualization; Biostatistics, Clinical Epidemiology, and Clinical Trials; Environmental Medicine and Public Health; Health System Design; and Health Information Technology. Harnessing big data could be the key to returning a child with cancer to health or sparing a grandmother with Alzheimer’s disease from heartbreaking decline. Our Initiative is committed to uniting Mount Sinai’s research and educational efforts in order to contribute to the advancement of precision medicine with the ultimate goal of helping all patients achieve optimal health.
Fall 2018 Training Opportunity: Tackling Complexity in Medicine and Public Health using Large Databases.
The workshop, Tackling Complexity in Medicine and Public Health Using Large Databases, held in Rome, will teach participants the nuts and bolts of obtaining and working with healthcare datasets for population health research. Participants will learn how to link datasets, develop research questions, and conduct analyses using healthcare datasets. No prior experience working with healthcare data necessary. Register now