Using data science to forecast clinical trial outcomes
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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
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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
We push the boundaries of finance to solve complex problems and fuel progress in the world through the MIT finance ecosystem – a unique global network of people, programs, research, and partnerships.
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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).
Ahead of the presidential inauguration, MIT Sloan's Professor Andrew Lo and other panelists described advances in their research and how these discoveries are being deployed to benefit the public.
Those who cashed out are left with an expensive lesson
The LFE is actively involved in research that aims to identify methods for measuring and managing risk, both standard and systemic types of risk.
The LFE’s healthcare finance initiative explores new business models and financial vehicles for raising and deploying funds to support biomedical innovation.
External link to the MIT Laboratory for Financial Engineering's WP website
The Laboratory for Information and Decision Systems at MIT is an interdepartmental research center committed to advancing research and education in the analytical information and decision sciences.