This ultrasound sticker senses changing stiffness of deep internal organs
The sticky, wearable sensor could help identify early signs of acute liver failure.
The sticky, wearable sensor could help identify early signs of acute liver failure.
A new microscopy technique that enables high-resolution imaging could one day help doctors diagnose and treat brain tumors.
Using a DNA-based scaffold carrying viral proteins, researchers created a vaccine that provokes a strong antibody response against SARS-CoV-2.
A compound originally developed to treat cancer could be repurposed to treat polycystic kidney disease, an inherited condition that can lead to kidney failure.
Across mammalian species, brain waves are slower in deep cortical layers, while superficial layers generate faster rhythms.
Swallowing the device before a meal could create a sense of fullness, tricking the brain into thinking it’s time to stop eating.
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
A new study finds that microglia with mutant TREM2 protein reduce brain circuit connections, promote inflammation, and contribute to Alzheimer’s pathology in other ways.
Using fluorescent labels that switch on and off, MIT engineers can study how molecules in a cell interact to control the cell’s behavior.
MIT students traveled to Washington to speak to representatives from several federal executive agencies.
By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.
BRAIN CONNECTS supports McGovern Institute and Department of Brain and Cognitive Sciences research aimed at mapping the brain’s connections.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.