AI algorithm enables tracking of vital white matter pathways
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
Immune-informed brain aging research offers new treatment possibilities, speakers say
Speakers at MIT’s Aging Brain Initiative symposium described how immune system factors during aging contribute to Alzheimer’s, Parkinson’s and other conditions. The field is leveraging that knowledge to develop new therapies.
Designing better ways to deliver drugs
Graduate student and MathWorks Fellow Louis DeRidder is developing a device to make chemotherapy dosing more accurate for individual patients.
Symposium highlights scale of mental health crisis and novel methods of diagnosis and treatment
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
Ultrasound offers a new way to perform deep brain stimulation
MIT engineers’ implantable ImPULS device could become an alternative to the electrodes now used to treat Parkinson’s and other diseases.
2023-24 Takeda Fellows: Advancing research at the intersection of AI and health
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
Unraveling connections between the brain and gut
MIT engineers’ new technology can probe the neural circuits that influence hunger, mood, and a variety of diseases.
Startups take root in senior capstone class
Over the years, dozens of student products from Class 2.009 (Product Engineering Processes) have inspired startups.
Celebrating 20 years of discovery, Picower Institute looks ahead to continuing impact
At an exhibition marking two decades since a transformative gift from the Picower Foundation, current and alumni members described research at the forefront of neuroscience and beyond.
Neurodegenerative disease can progress in newly identified patterns
A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.
In-home wireless device tracks disease progression in Parkinson’s patients
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Artificial intelligence model can detect Parkinson’s from breathing patterns
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Three distinct brain circuits in the thalamus contribute to Parkinson’s symptoms
Targeting these circuits could offer a new way to reverse motor dysfunction and depression in Parkinson’s patients.
New research center focused on brain-body relationship established at MIT
K. Lisa Yang Brain-Body Center to investigate the brain’s complex relationship with other body systems.
Can artificial intelligence overcome the challenges of the health care system?
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.