NEW YORK, April 23, 2026
Biotia announced the publication of a pivotal clinical validation study in the Microbiology Spectrum journal, highlighting the performance of its advanced next-generation sequencing (NGS) and machine learning–based diagnostic test for urinary tract infections (UTIs). The study demonstrates that Biotia’s innovative approach enables highly accurate, culture-independent detection of urogenital pathogens and antimicrobial resistance, representing a significant advancement in infectious disease diagnostics.
High Accuracy Through NGS and AI Integration
The clinical validation study evaluated 1,470 patient specimens across more than 1,600 reactions, achieving 97.2% sensitivity and 99.6% specificity, underscoring the test’s exceptional diagnostic accuracy. At the core of this performance is Biotia’s proprietary BIOTIA-DX machine learning classifier, which enhances precision by filtering out contamination and distinguishing clinically relevant pathogens from commensal organisms.
Unlike traditional culture-based methods, which often fail to detect fastidious or slow-growing organisms, this NGS-based approach provides comprehensive microbial identification directly from urine samples. Additionally, the test includes antimicrobial resistance gene profiling, enabling clinicians to make data-driven treatment decisions and select the most appropriate therapies for patients.

