3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
The physicist and the hospital
Associate Professor Thomas Heldt finds inspiration where fundamental physical principles intersect with human health.
MIT team improving gene therapies wins Sloan health care prize
Kano Therapeutics was one of eight finalists to pitch at the virtual competition.
Robert Weinberg receives 2021 Japan Prize
The award recognizes Weinberg’s pioneering achievements in the field of cancer biology.
A new tool to investigate bacteria behind hospital infections
Scalable CRISPRi system from SMART allows scientists to identify and tackle causes of E. faecalis-related diseases and drug resistance.
An origami-inspired medical patch for sealing internal injuries
The patch, which can be folded around surgical tools, may someday be used in robotic surgery to repair tissues and organs.
Robust artificial intelligence tools to predict future cancer
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
Delivering life-saving oxygen during a pandemic
MIT mechanical engineers have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses.
Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.
SMART researchers use lysins to selectively target bacteria
The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.
Q&A: Valencia Joyner Koomson ’98, MNG ’99 on new possibilities in microelectronic health systems
MLK Visiting Scholar focuses on microelectronics for cell analysis and biomedical applications.
Study examines role of mobile health technology in monitoring Covid-19 patients
Lincoln Laboratory researchers join international task force to evaluate wearable and emerging technology.
Sensing the body at all scales
Applications and challenges of sensing technology have been accelerated by Covid-19.
Using machine learning to track the pandemic’s impact on mental health
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.
Testing sewage to home in on Covid-19
Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.