HSI Lunch Seminar: Designing EHRs to Move Towards Plans and AI
The Changing Business Model of Healthcare
The Changing Business Model of Healthcare
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
The MIT Laboratory for Financial Engineering (LFE) and Informa Pharma Intelligence announced a new initiative, Project ALPHA (Analytics for Life-sciences Professionals and Healthcare Advocates).
MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
MIT Sloan Action Learning - In each project the ultimate goal is to improve the quality of healthcare and patient outcomes.
Fall 2021 update of the HSI Research on Analytics-based opioid overdose prediction
Impact: AI-driven, Personalized Transparent Decision-support Tool Enables Improved Treatment Decisions
Gaye Bok, an MIT Sloan alum, heads up the Mass General Brigham’s (MGB) $30M AI and Digital Innovation Venture Fund (AIDIF).