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Review Open access Sep 2026

Artificial intelligence in experimental and clinical in vitro analysis: applications, limitations, and future directions

The integration of artificial intelligence into in vitro analyses represents a transformative shift in laboratory medicine, diagnostics, and pharmaceutical research. Traditional in vitro methods, from cell culture assays to high-throughput screening, rely on manual interpretation and conventional statistics. Machine an...

Z. Othman, Mohamed Mustaf Ahmed, R. Nazari et al. · 0 citations
Review Open access Oct 2026

Artificial intelligence approaches to resistome profiling and predictive antimicrobial resistance surveillance

Antimicrobial resistance (AMR) is a complex One Health challenge driven by the interconnected emergence, selection, persistence, and dissemination of resistance across clinical, animal, agricultural, food, and environmental microbiomes. Resistome profiling through whole-genome and metagenomic sequencing has transformed...

Christian Joseph N. Ong, R. Nazari, J. T. P. Cruz · 0 citations

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