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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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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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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The studies describe new methods for accelerating drug approvals during pandemics and for providing more accurate measures of the probabilities of success for clinical trials of vaccines.
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We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them [...]
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The COVID-19 induced ‘Great Lockdown’ has cast doubt on the efficacy of bank buffers in supporting the real economy in times of crisis. Despite accommodative regulatory and supervisory action, banks remain hesitant to [...]
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Gilt Market Dysfunction and Liability-Driven Investment (LDI) - A Progress Report
