Machine learning uncovers potential new tuberculosis drugs
A machine learning method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. …
A machine learning method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. …
Researchers develop a method to isolate and sequence the RNA of T cells that react to a specific target. …
New strategy for encapsulating nutrients makes it easier to fortify foods with iron and vitamin A. …
A new model predicts the cognitive decline of patients at risk for Alzheimer’s disease by forecasting their cognition test scores up to two years in the future. …
Crystallized drug prevents immune system rejection of transplanted pancreatic islet cells. …
Compound that knocks out a DNA repair pathway enhances cisplatin treatment and helps prevent drug-resistance. …
MIT researchers have performed the first comprehensive analysis of the genes that are expressed in individual brain cells of patients with Alzheimer’s disease.
MIT engineers have designed an ingestible, Jell-O-like pill that, upon reaching the stomach, quickly swells to the size of a soft, squishy ping-pong ball big enough to stay in the stomach …
Messenger RNA, which can induce cells to produce therapeutic proteins, holds great promise for treating a variety of diseases. …
The venom of insects such as wasps and bees is full of compounds that can kill bacteria. Unfortunately, many of these compounds are also toxic for humans, making it impossible to use them as antibiotic drugs. …
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