Vaccines are an especially risky proposition for pharmaceutical manufacturers since the costs are higher than for other types of drugs and demand could drop drastically once a crisis is over.
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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.
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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).
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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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A new study led by MIT Sloan Prof. Andrew W. Lo finds that borrowing ideas and tools from the gaming community can improve online teaching techniques and improve learning outcomes for students.
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MIT researchers have developed a methodology for systematically tracking the outcomes of academic licensing transactions as a means of increasing funding to bridging the “valley of death.”
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MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
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Over 1,300 Sloanies and their guests returned to campus in early June to attend MIT Sloan Reunion 2023.
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.
