AI-based brain-mapping software receives FDA market authorization
Technology developed at WashU Medicine locates sensitive areas to enhance precision neurosurgery.
Predicting pain with machine learning
Researchers at WashU are using machine learning to better predict who will experience persistent pain after surgery.
WashU Law embeds AI in legal research curriculum for all first-year students
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.
Inaugural AI for Health seed funding program awards nearly $300,000
Program from AI for Health Institute, Here and Next supports interdisciplinary research in AI and health.
Eating disorder chat tool could improve access to care
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 […]
ChatGPT can level the playing field for retail investors
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.
Researchers harness AI to study family involvement with child protection systems
WashU researchers Eunhye Ahn and Yevgeniy Vorobeychik are teaming up to study the multifaceted dynamics of families involved in child protection systems. The interdisciplinary team, combining expertise in social work and computer science, is supported by a Here and Next seed grant.
Machine learning could help predict adherence to HIV treatment
Graduate student Claire Najjuuko has worked to develop a machine-learning model to predict which adolescents with HIV would be less likely to adhere to antiretroviral therapy. With such knowledge, health-care practitioners could implement interventions for those identified as less likely to adhere to the treatment plan.
AI tool helps make trustworthy, explainable scheduling decisions
TRACE-cs tool can help students reliably optimize course scheduling and explain why it makes the recommendations it does.
Foundation AI model predicts postoperative risks from clinical notes
AI for Health Institute team unveils a versatile large language model to enhance perioperative care.