Machine learning can create fake medical images and histories that look real. They may transform research.
Data altruism sounds like a good idea. But can the strategy effectively be put into practice?
Beneath the hype is a technology that could solve many logistical problems that plague medicine.
New speech analysis technologies can help diagnose mental illness. But they also raise troubling questions.
Public health messaging online yields beautiful—but sometimes worrying—data.
Genetic tests and genome sequencing are generating terabytes of sensitive private data. How can they be kept safe?
Genetic databases have helped medicine make great leaps forward. But is it really possible to keep the identities behind those genes a secret?
An ambitious data project may help doctors predict when a patient’s diabetes will take a turn for the worse.
Data from patients’ everyday medical records can also be mined—anonymously—to offer new insights on how diseases work.
Troves of data are gathered during clinical trials, but most of it stays locked away. Could freeing it lead to new cures?