Work

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

Year: 2026

Type: preprint

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.64898/2026.04.25.720842

Authors: Mohammadali Serajian, Mahsa Lotfollahi, Oded Green, Kaleb Smith, Simone Marini, Mattia Prosperi, Christina Boucher

Institutions: University of Florida, Nvidia (United States)

Language: English

Topic: Tuberculosis Research and Epidemiology

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7160105975

Cites: 62

Cited by:

Related to: 10