Use of Big Data Leads to Discovery in Diabetes

Joel Dudley, PhDAfter carefully analyzing the electronic health records (EHRs) of 11,000 patients, investigators at the Icahn School of Medicine at Mount Sinai have discovered three potential new subtypes of type 2 diabetes.

The discovery, led by Joel Dudley, PhD, Director of Biomedical Informatics at the Icahn School of Medicine, highlights the power of new technology and the promise of precision medicine, as the Mount Sinai Health System ushers in the use of Big Data in discovering, treating, and preventing disease. The results of the study were published in Science Translational Medicine in October, 2015. Read more

Mount Sinai's Supercomputer Ushers in a New Era

Mount Sinai School of Medicine recently unveiled its new supercomputer that is helping researchers unlock the intricate mechanisms that lead to human diseases, and hasten the discovery of treatments for them. The computer, named Minerva, after the Roman goddess of wisdom and medicine, was custom-built by Patricia Kovatch, the school’s first Associate Dean for Scientific Computing.

Minerva provides 64 million hours of computation per year. It has 7,680 processing cores, a peak speed of 70,000 gigaflops, and 30 terabytes of random access memory, making it one of the nation’s highest-performing computers in academic medicine.

Read more

Mount Sinai’s Supercomputer Ushers in a New Era

Mount Sinai School of Medicine recently unveiled its new supercomputer that is helping researchers unlock the intricate mechanisms that lead to human diseases, and hasten the discovery of treatments for them. The computer, named Minerva, after the Roman goddess of wisdom and medicine, was custom-built by Patricia Kovatch, the school’s first Associate Dean for Scientific Computing.

Minerva provides 64 million hours of computation per year. It has 7,680 processing cores, a peak speed of 70,000 gigaflops, and 30 terabytes of random access memory, making it one of the nation’s highest-performing computers in academic medicine.

Read more