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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National Capital Protocol Toolkit (NCT) offers companies a structured process to identify key business risks and opportunities in their management of natural resources.
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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).
Join the Sustainability Initiative as we build a future where humans and nature can thrive for generations to come.
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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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A free, updated simulator allows users to visualize environmental impacts and better guide climate decision-making in their organizations.