Combining clinical data from millions of patients, and behaviors of tens of thousands of care providers to assist doctors and patients in making better diagnoses, prognoses and therapeutic decisions.



Got Resistance? (April 29, 2019)
When it comes to TB, the computer has the answer

The Doctor and the Machine (April 3, 2019)
In new report, Harvard Med, Google scientists outline the promises and pitfalls of machine learning in medicine.

One Giant Step (Winter 2019)
Researchers are building an artificial intelligence system that can mimic human clinical decision making


Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction (EBioMedicine, 2019)

Machine Learning in Medicine (NEJM, 2019)

Adversarial attacks on medical machine learning (Science, 2019)

Framing the challenges of artificial intelligence in medicine (BMJ, 2018)

Big Data and Machine Learning in Health Care (JAMA, 2018)