Article

Rapid and Interpretable AMR Diagnostics via Genomics and Cell Painting using Differential Geometry-based Directed-Simplicial Neural Networks on Multimodal Data

2026-03-12

Abstract excerpt

Antimicrobial resistance (AMR) remains a critical global health challenge, particularly in high-prevalence regions such as India, where rapid and interpretable diagnostic tools are urgently needed. To address this challenge, we present a computational framework for AMR prediction that integrates genomic and cellular phenotypic data using an in-house developed differential geometry–based Directed Simplicial Neural...

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Literature Corpus work: 0aad670f-ee56-5878-a748-d170fb5b143e
DOI: 10.64898/2026.03.11.711128

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