Yang Yang

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

Yang Yang, Katherine E. Niehaus, Zamin Iqbal et al. · Bioinformatics · 2017 · 162 citations · Full text

Public Health, Pharmacology, Antimicrobial Resistance +14

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al. · npj Digital Medicine · 2023 · 147 citations · Full text

Computing, Computer Science, Health Informatics +17

DeepAMR for predicting co-occurrent resistance of <i>Mycobacterium tuberculosis</i>

Yang Yang, A Sarah Walker, Daniel J. Wilson et al. · Bioinformatics · 2019 · 69 citations · Full text

Life Sciences, Bioinformatics, Pharmacology +16

Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening

Andrew A. S. Soltan, Jenny Yang, Ravi Pattanshetty et al. · The Lancet Digital Health · 2022 · 54 citations · Full text

Medicine, Emergency Medical Services, Emergency Medicine +16

Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach

Ivan Barilar, Simone Battaglia, Emanuele Borroni et al. · Nature Communications · 2024 · 45 citations · Full text

Life Sciences, Genetics, Molecular Genetics +17