A team of researchers has developed a point-of-care TB test that costs only $2 and gives results in about 30 minutes, lowering the barrier to care in low-resource settings and potentially saving millions of lives.
Lindsay Brownell
• harvard
Oct. 23, 2019
•
~9 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