Harvard undergrad’s AI model helps to predict 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.

Ekaterina Pesheva
May 2, 2019 | harvard

~11 mins

Tags: science-technology akshith-doddi analysis-group andy-beam bill-and-melinda-gates-foundation blavatnik-institute critical-path-institute drug-resistance ebiomedicine gentb harvard-medical-school harvard-th-chan-school-of-public-health hms isaac-kohane jimmy-royer luca-freschi marco-schito masha-farhat massachusetts-general-hospital matthew-ezewudo mdr-tb mgh michael-chen tb tuberculosis university-of-virginia-school-of-medicine xdr-tb

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.

Ekaterina Pesheva
May 2, 2019 | harvard

~11 mins

Tags: science-technology akshith-doddi analysis-group andy-beam bill-and-melinda-gates-foundation blavatnik-institute critical-path-institute drug-resistance ebiomedicine gentb harvard-medical-school harvard-th-chan-school-of-public-health hms isaac-kohane jimmy-royer luca-freschi marco-schito masha-farhat massachusetts-general-hospital matthew-ezewudo mdr-tb mgh michael-chen tb tuberculosis university-of-virginia-school-of-medicine xdr-tb

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