Using data science to forecast clinical trial outcomes
By
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
By
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
By
Companies whose board members are digitally savvy outperform other companies in areas like revenue growth, return on assets, and market cap growth.
By
MIT Sloan School of Management’s Initiative for Health Systems Innovation (HSI) recently announced a formal collaboration with the Staten Island Performing Provider System (SI PPS).
By
Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.
By
Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
By
By assessing and applying the right type of governance, ecosystem participants can address shared challenges and grow ecosystem value.
By
In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
By
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.
By
To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.
Our more than 30 researchers are leading groundbreaking projects that span three main areas: Healthcare Analytics, Healthcare Operations, and Healthcare Incentives