Pattern Bioscience
Developing a next-generation clinical microbiology platform based on its patented phenotypic single-cell technology that can rapidly identify pathogens and determine their antibiotic response.
| Date | Investors | Amount | Round |
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| - | investor | €0.0 | round |
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* | $28.7m | Series C | |
| Total Funding | 000k | ||
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Pattern Bioscience is a clinical diagnostics company based in Austin, Texas, specializing in rapid and accurate identification of bacterial infections and their antibiotic resistance profiles. The company leverages advanced digital technology that combines single-cell analysis with artificial intelligence (AI) pattern recognition to deliver definitive identification and antibiotic susceptibility testing (ID/AST) results in just four hours. This is a significant improvement over traditional methods that can take days.
Pattern Bioscience primarily serves hospitals and healthcare providers, including lab directors, microbiology supervisors, medical lab scientists, medical directors, pharmacists, physicians, and infection prevention specialists. The company operates in the healthcare diagnostics market, which is crucial for improving patient outcomes and combating antibiotic misuse—a major global health threat.
The business model of Pattern Bioscience revolves around providing its diagnostic technology to healthcare institutions. It generates revenue through the sale of its diagnostic devices and associated consumables, as well as through service contracts and software licensing for its AI-driven analysis tools.
By offering faster and more accurate diagnostics, Pattern Bioscience aims to reduce the misuse of antibiotics, which is a significant issue in hospitals where up to 50% of antibiotics prescribed are unnecessary or inappropriate. This not only helps in improving patient care but also in combating the growing problem of antibiotic resistance.
Keywords: rapid diagnostics, AI pattern recognition, single-cell analysis, antibiotic resistance, healthcare, hospitals, patient outcomes, clinical diagnostics, infection prevention, medical technology.