Scientific American October 1, 2018
For researchers, the ability to use huge datasets to improve health outcomes for individuals and populations has long been elusive. No longer.
This article was created for the Icahn School of Medicine at Mount Sinai, in New York City, by Scientific American Custom Media, a division separate from the magazine’s board of editors.
Most people think of illness in a binary way: a patient is either sick or well. But scientists have found a more nuanced reality. “Looking beneath the data in medical records, at health information across millions of patients, we have found a large spectrum of disease and disease risk that can inform individualized treatment plans in a more sophisticated and tailored way than the ‘one size fits...
Today's Sponsors
Today's Sponsor