Undergraduate Michael Chen, who created an extraordinary program to help treat TB, also works with a student program to treat ordinary patients.
Jill Radsken
• harvard
Aug. 9, 2019
•
~5 min
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.
Ekaterina Pesheva
• harvard
May 2, 2019
•
~11 min
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.
Ekaterina Pesheva
• harvard
May 2, 2019
•
~11 min