Tiny magnetic beads produce an optical signal that could be used to quickly detect pathogens
The findings point to faster way to detect bacteria in food, water, and clinical samples.
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The findings point to faster way to detect bacteria in food, water, and clinical samples.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
PhD student Constantine Tzouanas investigates how interactions between individual cells help determine whether pathogens will defeat their hosts — or vice versa.
In addition to turning on genes involved in cell defense, the STING protein also acts as an ion channel, allowing it to control a wide variety of immune responses.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
C16 Biosciences, founded by MIT alumni, has developed a microbial oil to replace palm oil, whose production reaps environmental devastation.
Award recognizes scholars who have the “extraordinary creativity necessary to tackle problems others can’t solve.”
The HUMANS nanowafer, an MIT Space Exploration Initiative student-led project, will travel to the ISS this month, and later to the moon, carrying messages in more than 64 languages from over 80 countries.
Ahead of the Institute’s presidential inauguration, panelists describe advances in their research and how these discoveries are being deployed to benefit the public.
A campus summit with the leader and his delegation centered around dialogue on biotechnology and innovation ecosystems.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
He conducted groundbreaking research into auditory physiology at MIT and Harvard Medical School, and was the founding director of the Eaton-Peabody Laboratories at Mass Eye and Ear.
The soft robotic models are patient-specific and could help clinicians zero in on the best implant for an individual.
The sensor sends out its location as it moves through the GI tract, revealing where slowdowns in digestion may occur.