Michael L. Chen

A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis

This paper presents a deep convolutional neural network to predict antibiotic resistance in M. tuberculosis isolates, achieving state-of-the-art accuracy and enabling interpretable feature analysis.

Deep learning predicts tuberculosis drug resistance status from genome sequencing data

This study uses a multitask deep learning model to predict tuberculosis drug resistance from genomic data, achieving high accuracy in both first-line and second-line drug resistance prediction.