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ARGai 3.0: AI fusion approach to identify antibiotic-resistant strains in E. coli using high-throughput whole genome sequencing data

Debasish Swapnesh Kumar Nayak Swati Sucharita Subhra Mohanty Sabyasachi Mohanty Shubha Dattatreya Bahinipati S. Sahoo T. Swarnkar
Aug 2026 · International Journal of Data Science and Analysis · Vol 22 · 0 citations · 32 references

TL;DR

This work hypothesized that, in comparison with baseline AI models, ARGai 3.0 would have superior capability in identifying strains of antibiotic resistance and demonstrated a 10% enhancement in classification accuracy and is capable of processing complex NGS WGS data.

DOI Semantic Scholar
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