We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

First-of-Its-Kind Infectious Disease Diagnostic Platform to Deliver Rapid Antibiotic Treatment Guidance

By HospiMedica International staff writers
Posted on 03 May 2023
Print article
Image: Pattern’s single-cell microbiology platform could revolutionize bacterial testing (Photo courtesy of Freepix)
Image: Pattern’s single-cell microbiology platform could revolutionize bacterial testing (Photo courtesy of Freepix)

Annually, around 1.3 million lives and countless healthcare dollars are lost due to drug-resistant bacterial infections, highlighting the urgent need for faster diagnostic tools to facilitate targeted antibiotic treatment. Conventional culture-based tests may take up to four days to provide a definitive diagnosis for critically ill patients. Research indicates that patients with drug-resistant infections face a four to seven times higher risk of death if effective antibiotic treatment is delayed by even 24 hours. Now, a revolutionary phenotypic test platform for infectious diseases has the potential to quickly identify the infection-causing pathogen and offer precise guidance on the most suitable antibiotic for treatment.

Pattern Bioscience, Inc. (Austin, TX, USA), an innovator in rapid diagnosis and antibiotic susceptibility testing (AST) for bacterial infections, is pioneering the use of single-cell microbiology to rapidly diagnose drug-resistant bacterial infections and identify effective treatments. The company's unique single-cell microbiology technology represents the first culture-free, rapid phenotypic testing platform capable of delivering clinically actionable results in a timeframe that allows healthcare professionals to administer timely, life-saving treatments to patients, significantly improving outcomes.

By employing single-cell analysis of microorganisms in conjunction with machine learning, Pattern's innovative technology can produce clinically actionable information that identifies the responsible pathogen and assesses its antibiotic susceptibility within hours, as opposed to the days needed for standard culture-based tests. Pattern's proprietary single-cell analysis technology accelerates testing by directly measuring the live response of each pathogenic cell, eliminating the need for lengthy culture procedures. Phenotypic pattern recognition encompasses every resistance mechanism, whether known or unknown, existing or emerging, simple or complex, genetic, or epigenetic. Evaluating the phenotypic bacterial response to antibiotics ensures that the clinical validity of the current gold standard is upheld for rapid testing.

Traditional lab tests require days to complete, as they depend on the time-intensive growth and average response of millions of bacteria to potential antibiotic treatments. Pattern's technology, on the other hand, allows for testing directly from non-sterile specimens, improving upon the qualities that have established traditional culture as the gold standard for bacterial diagnosis. The company's first test, which has been granted US FDA Breakthrough Device Designation, targets hospitalized patients with pneumonia. In the future, Pattern's technology is expected to support a comprehensive range of other tests.

“We believe our technology will significantly impact patient outcomes and help tackle the growing challenge of antibiotic resistance,” said Nick Arab, co-founder and CEO of Pattern Bioscience.

Related Links:
Pattern Bioscience, Inc. 

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
12-Channel ECG
CM1200B
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Soft-Tissues Biopsy Needle
MR-CLEAR

Print article

Channels

Critical Care

view channel
Image: A machine learning tool can identify patients with rare, undiagnosed diseases years earlier (Photo courtesy of 123RF)

Machine Learning Tool Identifies Rare, Undiagnosed Immune Disorders from Patient EHRs

Patients suffering from rare diseases often endure extensive delays in receiving accurate diagnoses and treatments, which can lead to unnecessary tests, worsening health, psychological strain, and significant... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more