Brain surgery training from an avatar
MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.
MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.
Albert Almada PhD ’13 studies the mechanics of how stem cells rebuild tissues. “Digging deep into the science is what MIT taught me,” he says.
Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.
MIT spinout Elicio developed a vaccine based on a lymph node-targeting approach first developed at the Koch Institute. Phase 1 solid tumor clinical trial results are promising so far.
A plastic microfluidic chip can remove some risky cells that could potentially become tumors before they are implanted in a patient.
Awarded $65.67 million from ARPA-H, the researchers will work to develop ingestible capsules that deliver mRNA and electric stimuli to treat metabolic disorders such as diabetes.
Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Associate Professor Lydia Bourouiba and artist Argha Manna take readers through a series of discoveries in infectious disease.
A new MIT study identifies six systemic factors contributing to patient hazards in laboratory diagnostics tests.
Study of rigorous trial shows mixed results, suggests need to keep examining how nutrition can combat a pervasive disease.
Swallowing the device before a meal could create a sense of fullness, tricking the brain into thinking it’s time to stop eating.
By reevaluating existing data, researchers find the procedure is even more valuable than consensus had indicated.