Helping scientists run complex data analyses without writing code
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
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.
The findings may offer a new way to help heal tissue damage from radiation or chemotherapy treatment.
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
Tom Zeller’s new book, “The Headache,” sheds light on one of the world’s most confounding and agonizing ailments.
Tools build on years of research at Lincoln Laboratory to develop a rapid brain health screening capability and may also be applicable to civilian settings such as sporting events and medical offices.
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
MIT researchers analyzed the nutritional content of millions of menu items across Boston, London, and Dubai.
Launched with a gift from the Biswas Family Foundation, the Biswas Postdoctoral Fellowship Program will support postdocs in health and life sciences.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Watery fluid between cells plays a major role, offering new insights into how organs and tissues adapt to aging, diabetes, cancer, and more.
The ingestible capsule forms a drug depot in the stomach, gradually releasing its payload and eliminating the need for patients to take medicine every day.
Researchers also found these effects can be reversed by treatment with an antioxidant.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.