Crowdsourcing to better forecast drug approvals
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.
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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Hackathon is open to the public and will take place November 6-8, 2020
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The founder of the Martin Trust Center for MIT Entrepreneurship is recognized for a lifetime of pioneering entrepreneurship.
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Free series features world experts on the mindset, skillset and ways of operating to thrive during and after a crisis .
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Entrepreneurial Confidence and Communication Program made significant impact on student founders
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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The winning team’s autonomous robots disinfect high-traffic spaces.
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The collaboration will focus on academic exchange, an innovative immersion program, and enhancing QUT’s entrepreneurship program with access to MIT’s global entrepreneurial networks.
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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