Archives

Can a chatbot for eating disorders improve access to care? This is what Dr. Ellen Fitzsimmons-Craft is trying to achieve through a new study. She’s an associate professor of psychological and brain sciences in Arts & Sciences at Washington University in St. Louis and an associate professor of psychiatry at WashU School of Medicine.

Software developed at WashU Medicine on accelerated path to approval.

WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth.

This summer, Cindy Kang, a Ph. D student, is working under the mentorship of Brown School Professor Kim Johnson to study how AI can help predict the risk of metastasis at the time of a child’s initial cancer diagnosis. Metastases account for a large portion of cancer-related deaths in children. 

Technology developed at WashU Medicine locates sensitive areas to enhance precision neurosurgery.

Researchers at WashU are using machine learning to better predict who will experience persistent pain after surgery.

By the end of their first year, every first year JD student starting in 2025 at WashU Law will be proficient not only in traditional legal research but also in the fundamentals of generative AI, a dual fluency that sets them apart at summer placements and beyond.

Program from AI for Health Institute, Here and Next supports interdisciplinary research in AI and health.

Eating disorders are one of the deadliest forms of mental illness, but less than 20% of people with these disorders end up finding help. “There’s a huge need for access to care,” said Ellen Fitzsimmons-Craft, an associate professor of psychological and brain sciences in Arts & Sciences and of psychiatry at the School of Medicine, all at […]

Across industries, generative AI has unlocked powerful new capabilities to wider groups of users. Now there are signs that it allows retail traders in the financial markets to be more competitive with better-resourced pros.