Flexible Downstream Readouts

Cobio is building a diagnostic platform that harnesses the natural specificity and amplification power of lytic bacteriophages to produce rapid, phenotypic ID, AST, and MIC data directly from clinical specimens.

The same underlying biology supports multiple analytical readouts and deployment models, enabling flexibility without sacrificing rigor.

A Phage‑Amplified Diagnostic Platform

  1. Targeted Phage Interaction
    Cobio’s proprietary species‑specific lytic bacteriophage formulations selectively bind their bacterial hosts.

  2. Biological Amplification
    Phage replication occurs only in viable bacteria, amplifying signals that reflect true phenotypic response in the presence of antibiotics.

  3. Flexible Detection
    Exponential amplified phage signals are measured using mass spectrometry, nanopore sequencing, or immunoassay‑based methods.

  4. Actionable Interpretation
    AI‑enabled data deconvolution and machine learning transforms complex simultaneously streaming ID, AST and MIC signals data into user‑friendly diagnostic readouts.

How the Platform Works

How It Works

Phenotypic Measurement at the Core

Cobio’s platform is inherently phenotypic. Because phage replication depends on viable bacterial hosts, the presence or absence of amplified signal directly reflects antimicrobial susceptibility and bacterial growth dynamics.

This cocktail approach enables accurate, overlapping phenotypic assessment even in the presence of emerging, evolving or cryptic resistance mechanisms.

Step‑by‑Step Workflow

Sample Input
Clinical specimens such as blood, urine, or other bodily fluids are introduced with minimal preprocessing.

Phage‑Antibiotic Exposure
Samples are exposed to species‑specific phages in the presence of antibiotics at defined, standardized concentrations.

Amplification & Readout
Viable, resistant bacteria support phage replication, producing amplified signals measured by the selected detection method.

Data Deconvolution
Computational tools translate signal patterns into ID, AST, and MIC‑relevant outputs.