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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Hackathon is open to the public and will take place November 6-8, 2020
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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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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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A startup showcase featured a prosthetic hand, crowd-sourced sizing for women’s clothes, and a way to use extra space on cargo planes.
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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 robotic bartender, customized skincare, smart clothing, and more.
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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).
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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This alumna-founded health care startup is using artificial intelligence and machine learning to generate soothing sounds for infants and translate their cries for parents.
