How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Coupling engineered bacteria with low-power electronics could be highly effective in diagnosis, treatment of bowel diseases.
The new approach could lead to intranasal vaccines for Covid-19 and other respiratory diseases.
A potential new Alzheimer’s drug represses the harmful inflammatory response of the brain’s immune cells, reducing disease pathology, preserving neurons, and improving cognition in preclinical tests.
Howard Hughes Medical Institute Gilliam Fellows are selected for their promise as future leaders in their scientific fields and for their commitment to advancing equity and inclusion.
Noncontact Laser Ultrasound offers capabilities comparable to those of MRI and CT but at vastly lower cost, in an automated and portable platform.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
MIT researchers investigate the causes of health care disparities among underrepresented groups.
Three graduate students forged a path to the same Picower Institute lab through participating in the MIT Summer Research Program in Biology and Neuroscience.
The Koch Institute’s Annual Symposium highlights emerging successes and challenges in the advancement of vaccines to prevent and treat cancer.
Evaluating articles and journals using a new “diversity index” could promote a wider range of perspectives and better global health outcomes, researchers say.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.
MIT PhD student Kathrin Kajderowicz is studying how hibernation-like states could pave the way for new hypothermic therapies.