Predicting change in the Alzheimer’s brain
Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.
Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.
Team from MIT's Computer Science and Artificial Intelligence Lab detects dementia using AI and a digital pen.
MIT’s Picower Institute to partner on four projects with Case Western Reserve University.
Study of epigenomic modifications reveals immune basis of Alzheimer's disease.
Model indicates that diverse research approaches to the disease would be a rewarding investment.
Collaboration unites Picower Institute at MIT with MD Anderson Cancer Center and Baylor College of Medicine.
New study finds long-overlooked cells help the brain respond to visual stimuli.
In clinical trial, mixture developed at MIT appears to help overcome loss of connections between brain cells.
Neuroscientists show that HDAC2 enzyme could be a good target for new drugs.
Excess of sirtuins can produce anxiety, a possible evolutionary adaptation to dietary restriction.
New technology helps scientists discover drugs to strengthen synapses.
In Killian Award lecture, Rudolf Jaenisch outlines progress and possibilities for treating human disease with stem cells.
MIT chemists have synthesized a family of natural compounds that have shown promise in killing tumor cells.
Sirtuins appear to control production of the devastating protein fragments that form plaques in the brains of Alzheimer’s patients.
New MIT technology allows high-speed study of zebrafish larvae, often used to model human diseases.