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
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Companies whose board members are digitally savvy outperform other companies in areas like revenue growth, return on assets, and market cap growth.
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).
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Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.
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Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
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By assessing and applying the right type of governance, ecosystem participants can address shared challenges and grow ecosystem value.
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With carbon emissions reduction a top concern, tech leaders are building capabilities that help companies reduce their own emissions and those of suppliers and customers.
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To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.