Times Higher Education features Sandya Subramanian’s work to bring hope to chronic migraine patients through use of physiological sensors and analytical tools that analyse the autonomic nervous system for clues about the debilitating condition.

Dr. Atul Butte describes how AI tools can help ID drugs and treatments that fight cancer and empower patients–and cautions that we aren’t quite there yet.

CPH’s Ida Sim highlights the ways that wearable devices like the Apple Watch focus user attention–on what the company (rather than clinicians) decide is most measurable/important.

Researchers at UCSF are using AI to help read MRIs for common but complex conditions like lower back pain, and see improvements in diagnosis, better identification of links between symptoms, and reduced patient time spent in claustrophobic scanners.

Berkeley News highlights new faculty arrivals–including our own Irene Chen.

NPR podcast The Pulse talks to Niloufar Salehi (from 32:08) about how machine translation can make care more accessible–and ongoing research to improve function for patients and clinicans alike.