Field notes, model deep-dives, and clinical perspectives from the BactoAI team and pilot partners.
Culture-based testing was designed for a world with fewer resistant strains. Here's what changes when the genome, not the culture plate, becomes the primary signal.
A behind-the-scenes look at the training set, holdout strategy, and confidence-calibration work that produced BactoAI's flagship prediction model.
A short field note from our pilot deployments across East African hospitals — and why local genomic surveillance changes the risk picture entirely.
Our REST API lets hospital LIMS systems submit isolates and receive resistance predictions directly. Here's the design and how to get access.
Model uncertainty is easy to compute and hard to communicate. We share the calibration and visualization choices behind BactoAI's confidence bars.
How the WHO priority pathogens list shapes the antibiotics we support next — and where LMIC-specific resistance patterns diverge from global rankings.
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