2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
Doctoral candidate Nina Andrejević combines spectroscopy and machine learning techniques to identify novel and valuable properties in matter.
SMART breakthrough could help develop technologies that can identify materials according to desired properties for specific applications.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
The targeted approach eliminated tumors in mice, with minimal side effects.
The rechargeable battery can be woven and washed, and could provide power for fiber-based electronic devices and sensors.
A new way of processing rare-earth and other key metals to separate them from other materials could reduce environmental impact and cost.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
Researchers make the case for a semisolid electrochemical compound as a cost-efficient, grid-scale battery backup for wind and solar power.
Nine MIT researchers selected as finalists for 2021 prize supported by Northpond Ventures; grand prize winner to receive $250K toward commercializing her human health-related invention.
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
Ultrastable and made of inexpensive, nontoxic elements, chalcogenide perovskites could find applications in solar cells, lighting, and more.
The Common Ground for Computing Education is facilitating collaborations to develop new classes for students to pursue computational knowledge within the context of their fields of interest.
Honor recognizes professors who went the extra mile advising during the pandemic’s disruptions.