BIOTIA-DX RESISTANCE Achieved the Best Antimicrobial Resistance Phenotype Prediction Accuracy at CAMDA 2026

Fidler, G.; Wells, H.; Combs, F.; Papciak, J.; Couto-Rodriguez, M.; Rey, S.; Rivera, T.; Uccellini, L.; Mason, C. E.; OHara, N. B.; Nagy-Szakal, D.; Danko, D. C.

doi:10.64898/2026.05.13.724982

bioRxiv · 10.64898/2026.05.13.724982

BIOTIA-DX RESISTANCE Achieved the Best Antimicrobial Resistance Phenotype Prediction Accuracy at CAMDA 2026

Fidler, G.·Wells, H.·Combs, F.·Papciak, J.·Couto-Rodriguez, M.·Rey, S.·Rivera, T.·Uccellini, L.·Mason, C. E.·OHara, N. B.·Nagy-Szakal, D.·Danko, D. C.

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Abstract

We present BIOTIA-DX RESISTANCE (BDXR), our submission to the CAMDA 2026 AMR Challenge. This work extends our CAMDA 2025 submission [1] to a new set of six species-drug pairs and adds k-mer-based feature engineering (both targeted and whole-genome) for pairs where the 2025 gene-presence base model underperforms. BDXR achieved a mean accuracy of 86.1% across the six pairs on the CAMDA 2026 test set, ranking first on four pairs, tied for first on Streptococcus pneumoniae (penicillin), and second on Campylobacter jejuni (nalidixic acid); per-pair test accuracy ranged from 69.9% (C. jejuni, nalidixic acid) to 98.8% (S. pneumoniae, penicillin). We refer the reader to our 2025 preprint [1] for the underlying workflow, dataset curation, and clinical motivation; this preprint focuses on the results and methodological changes that are new in 2026.

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Fidler, G., Wells, H., Combs, F., Papciak, J., Couto-Rodriguez, M., Rey, S., Rivera, T., Uccellini, L., Mason, C. E., OHara, N. B., Nagy-Szakal, D., Danko, D. C.. 2026-05-13. BIOTIA-DX RESISTANCE Achieved the Best Antimicrobial Resistance Phenotype Prediction Accuracy at CAMDA 2026. https://doi.org/10.64898/2026.05.13.724982

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