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.
By
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).
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
Much has been written about the potential impact of generative AI in the workplace, but the perspective of one set of key stakeholders has often been left out: workers themselves. What’s more, research has found that incorporating the perspective of end users such as workers into the development an...
By
How does access to a generative AI tool affect work in a call center? That was a research question addressed by MIT Sloan Professor Danielle Li at a recent session of the MIT Institute for Work and Employment Research (IWER) weekly seminar series.
By
MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
By
A new study led by MIT Sloan Prof. Andrew W. Lo finds that borrowing ideas and tools from the gaming community can improve online teaching techniques and improve learning outcomes for students.
By
The executive director of the Good Companies, Good Jobs Initiative at the MIT Sloan School of Management cuts through the hype about the “future of work” — and explains recent research on the transformative effects of artificial intelligence and automation on jobs.
By
How will artificial intelligence (AI) affect jobs and society? That question, argues MIT Sloan Professor Thomas A. Kochan, is too important to be left strictly to technology vendors.
Three members of the faculty of the MIT Institute for Work and Employment Research (IWER) have received seed grants from MIT to produce papers exploring some of the societal impacts of generative artificial intelligence.