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.
The winning team’s autonomous robots disinfect high-traffic spaces.
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).
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
Wharton’s Ethan Mollick and MIT Sloan’s Bill Aulet discuss the ways generative artificial intelligence is remaking the competitive landscape of entrepreneurship.
This alumna-founded health care startup is using artificial intelligence and machine learning to generate soothing sounds for infants and translate their cries for parents.
MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
After taking second place at the MIT $100K Entrepreneurship Competition Launch event in May, Inclusively.ai wants to make diversity, equity, inclusion, and belonging even more actionable.
Hackathon is open to the public and will take place November 6-8, 2020
A startup showcase featured a prosthetic hand, crowd-sourced sizing for women’s clothes, and a way to use extra space on cargo planes.