Maha Reda Farhat

35PUBLICATIONS
150CO-AUTHORS
Deep learningMicrobial geneticsNeural networksPredictive and prognostic markersMicrobial taxonomy
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Publications (35)

|Jul 10, 2026
Improving Generalizability in Whole-Cell Antibiotic Discovery Through Active Learning.

|Jun 29, 2026
Within-host pathogen population diversity predicts treatment response in Tuberculosis.

|Apr 24, 2026
Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.

|Apr 16, 2026
Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.

|Apr 10, 2026
Gene conversion is a key driver of diversity hotspots in <i>M. tuberculosis</i> antigens and virulence-associated loci.

Maximillian G Marin, Natalia Quinones-Olvera, Hu Jin

|Feb 27, 2026
Benchmarking within-sample minority variant detection with short-read sequencing in <i>M. tuberculosis</i>.

Shandukani Mulaudzi, Sanjana Kulkarni, Maximillian G Marin

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Frequent Collaborators

8 joint publications

Maximillian Marin

6 joint publications

Karen R Jacobson

5 joint publications

Samantha Malatesta

5 joint publications

Daniela Maria Cirillo