Work

FARM:Forecasting Antibiotic Resistance in Mycobacterium tuberculosis using biophysics and machine learning

Year: 2026

Type: dataset

Abstract: Source data for the "FARM:Forecasting Antibiotic Resistance in Mycobacterium tuberculosis using biophysics and machine learning" project. This record contains curated WHO 2021 and WHO 2023 mutation-derived datasets, feature-complete mutation-level tables, and supporting source files used for supervised training, temporal evaluation, and deployment-style forecasting of M.tuberculosis resistance-associated variants.

Source: Figshare

DOI: 10.6084/m9.figshare.33184647

Authors: Mahbuba Tasmin, Shrishti Barethiya, Yu Wang, Jianhan Chen, lulu kang, Anna Green

Language: English

Topic: Tuberculosis Research and Epidemiology

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7201855464

Cites:

Cited by:

Related to: 10