Harvard undergrad’s AI model predicts TB resistance
A Harvard undergrad, working with Harvard Medical School scientists, has designed an artificial intelligence model that predicts tuberculosis resistance to 10 most commonly used drugs. The new model outperforms previous machine-learning tools, and incorporating it into clinical tests could dramatically enhance early detection and prompt treatment of drug-resistant TB.
May 2, 2019 • ~11 min
HMS researchers design algorithm that ID’s DNA defects, making more cancers treatable
A new algorithm designed by HMS scientists can be incorporated into standard genetic tests to successfully identify patients harboring a tumor-fueling DNA repair defect found in multiple cancers treatable with existing drugs.
April 15, 2019 • ~10 min
At Harvard, adding AI to M.D.
Researchers at Harvard Medical School’s Blavatnik Institute are developing an algorithm with information that is so complex, it will understand everything a first-year medical student knows.
April 5, 2019 • ~5 min
Exercise, fasting shown to help cells shed defective proteins
A new study from the Blavatnik Institute finds that intense exercise and fasting activate hormones that boost cells’ capacity to dispose of defective proteins, which clog up the cell, interfere with its functions, and, over time, precipitate diseases including neurodegenerative conditions such as ALS and Alzheimer’s.
Feb. 21, 2019 • ~9 min
Researchers able to determine the effects of genes and environment in 560 common conditions
In the largest study of U.S. twins to date, researchers use insurance records to tease out the effects of genes and the environment in 560 diseases.
Jan. 14, 2019 • ~9 min
/
2