Pattern Bioscience


Pattern Bioscience is dedicated to revolutionizing bacterial infection diagnosis and combating antibiotic resistance through its innovative single-cell microbiology platform. Founded in 2016 and based in Austin, Texas, the company develops rapid, culture-free diagnostic technologies that provide actionable results within hours, significantly reducing the time for pathogen identification and antibiotic susceptibility testing. Its mission is to improve patient outcomes, reduce healthcare costs, and address the global crisis of antimicrobial resistance by enabling faster, smarter diagnostics.

Industries

biotechnology
health-care
medical

Nr. of Employees

medium (51-250)

Pattern Bioscience

Austin, Texas, United States, North America


Products

Single-cell microbiology diagnostic platform (in development)

A culture-free diagnostic system that isolates and measures individual bacterial cells to generate identification and phenotypic antibiotic susceptibility data in hours.

Pneumonia ID/AST panel (in development)

A direct-from-specimen phenotypic identification and susceptibility panel designed to provide same-day actionable results for hospitalized patients with pneumonia.

Bacteremia ID/AST panel (in development)

An ID/AST panel intended to identify bloodstream pathogens and provide phenotypic susceptibility results directly from positive blood-culture samples without additional culturing steps.


Services

Clinical validation and regulatory strategy

Design and execution of clinical validation studies and preparation of regulatory submissions to support diagnostic panel clearance, including engagement with regulatory programs that enable interactive communication during development.

Expertise Areas

  • Clinical microbiology diagnostics
  • Rapid phenotypic ID/AST development
  • Single-cell analysis and microfluidics
  • Machine learning for diagnostic pattern recognition
  • Show More (6)

Key Technologies

  • Single-cell analysis
  • Droplet microfluidics
  • Phenotypic antimicrobial susceptibility testing
  • Machine learning / deep learning
  • Show More (6)

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