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.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App





First-of-Its-Kind Single-Cell Clinical Microbiology Platform Wins 2023 Disruptive Technology Award

By LabMedica International staff writers
Posted on 27 Jul 2023

Pattern Bioscience, Inc. More...

(Austin, TX, USA) has won the 2023 Disruptive Technology Award for its ground-breaking single-cell microbiology technology at the AACC Annual Scientific Meeting. The Disruptive Technology Award competition from ADLM honors innovative testing solutions and disruptive technologies that enhance patient care via diagnostic performance or improved access to high-quality testing. The finalists demonstrated their technologies live at the Disruptive Technology Award session during the event, with the winner being chosen by expert judges and announced at the session's conclusion.

Pattern has designed a novel culture-free test that rapidly identifies infection-causing pathogens and assesses their susceptibility to antibiotics. The test utilizes a fusion of single-cell analysis and AI to directly evaluate individual bacterial cells' responses to antibiotics, aiding healthcare teams in making informed decisions about antimicrobial therapy. Unlike PCR or sequence-based methods that evaluate genetic targets linked to resistance, Pattern’s technology directly measures the response of bacterial cells to antibiotics, thereby determining exactly which agents can be employed for therapy. This process is similar to standard-of-care culture methods, but significantly faster.

The single-cell microbiology technology developed by Pattern is capable of testing directly from complex clinical specimens, including non-sterile body sites where normal microbiota often coexists with pathogens. This unique ability to test directly from polymicrobial specimens stems from its single-cell isolation approach. The technology bypasses the traditional agar plate-based colony isolation process by encapsulating individual bacterial cells (or colony-forming units) in isolated picoliter-volume "culture droplets," creating an array of single-cell isolates. This critical process separates the antibiotic response of each bacteria type in the sample, enabling Pattern to deconvolve the antibiotic susceptibilities of multiple bacterial species. As such, Pattern’s technology is the first and only emerging technology capable of comprehensively diagnosing pneumonia directly from a clinical specimen, leading to the FDA granting the company’s Pneumonia ID/AST Panel a Breakthrough Device Designation.

Related Links:
Pattern Bioscience, Inc.


Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
High-Density Lipoprotein Containing Cholesterol Assay
HDL-c direct FS
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.