Faster tracking of treatment responses

Biological sensors developed by MIT spinout Glympse Bio could help clinicians make decisions for individual patients.

Zach Winn | MIT News Office • mit
Feb. 2, 2021 ~7 min

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.

Rachel Gordon | MIT CSAIL • mit
Jan. 28, 2021 ~12 min

MIT.nano’s Immersion Lab opens for researchers and students

Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.

MIT.nano • mit
Jan. 11, 2021 ~10 min

“SCOUT” helps researchers find, quantify significant differences among organoids

Unbiased, high-throughput analysis pipeline improves utility of “minibrains” for understanding development and diseases such as Zika infection.

David Orenstein | Picower Institute for Learning and Memory • mit
Dec. 14, 2020 ~9 min

Sensing the body at all scales

Applications and challenges of sensing technology have been accelerated by Covid-19.

Becky Ham | MIT.nano • mit
Dec. 1, 2020 ~6 min

Faculty seed projects grow into pandemic research opportunities

MISTI Global Seed Funds are open for proposals after Covid pivot.

MISTI • mit
Nov. 23, 2020 ~6 min

Algorithm reduces use of riskier antibiotics for UTIs

Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.

Adam Conner-Simons | Rachel Gordon | MIT CSAIL • mit
Nov. 5, 2020 ~7 min

Covid-19 “super-spreading” events play outsized role in overall disease transmission

Mathematical analysis suggests that preventing large gatherings could significantly reduce Covid-19 infection rates.

Anne Trafton | MIT News Office • mit
Nov. 2, 2020 ~6 min

An interdisciplinary approach to sustainable PPE

United under the Sustainability Incubator Fund, researchers strategize sustainable sourcing solution for crises at the local and global level.

Nicole Morell | MIT Office of Sustainability • mit
Oct. 29, 2020 ~8 min

AI Cures: data-driven clinical solutions for Covid-19

MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.

Terri Park | MIT Schwarzman College of Computing • mit
Oct. 27, 2020 ~9 min

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