The symbiotic relationship between machine learning and chemistry holds the promise of unlocking insights and accelerating ...

Machine learning, experts say, stands to empower doctors and benefit patients. But how will both respond to the idea of algorithms playing a bigger role in the medical system?

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

As Big Data tools reshape health care, biased datasets and unaccountable algorithms threaten to further disempower patients.

Many of these machine-learning–aided tasks have been largely accepted and incorporated into the everyday practice of medicine.

In this view of the future of medicine, patient–provider interactions are informed and supported by massive amounts of data from interactions with similar patients. These data are collected and ...

Machine learning has had a significant impact in many areas of science and technology, including life science and medical research.

Should we let it? Machine learning is starting to take over analyzing medical images. But AI tools also raise worrying questions because they solve problems in ways that humans can’t always follow.