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
RANDOX LABORATORIES

Download Mobile App




Danaher and Johns Hopkins University Collaborate to Improve Neurological Diagnosis

By LabMedica International staff writers
Posted on 13 May 2024

Unlike severe traumatic brain injury (TBI), mild TBI often does not show clear correlations with abnormalities detected through head computed tomography (CT) scans. More...

Consequently, there is a pressing need for a more reliable method to determine which patients should receive a CT scan and to identify those at greater risk of developing severe symptoms. Now, a new collaboration that aims to identify mild TBI earlier could help nearly 56 million patients worldwide with mild TBI benefit from a more accurate approach to diagnosis.

Danaher Corporation (Washington, D.C., USA) has entered into a collaboration with Johns Hopkins University (Baltimore, MD, USA) to develop new diagnostic methods for mild TBI. This collaboration is part of the Danaher Beacons program, where Johns Hopkins researchers will utilize technology from Beckman Coulter Diagnostics, a subsidiary of Danaher, to establish correlations between between novel biomarker panels and clinical outcomes. The Beacon builds on recent advancements in neurological biomarker research and the application of next-generation immunoassay detection technologies developed by Beckman Coulter. Should this method prove successful, it could also be adapted to diagnose other forms of brain injuries and neurodegenerative diseases.

"Our latest in vitro diagnostics innovations are improving the detection of specific biomarkers found in blood when brain cells are damaged,” said Julie Sawyer Montgomery, Vice President and Group Executive, Danaher Diagnostics. “We are thrilled to partner with Johns Hopkins with the goal of leveraging these solutions to develop tests for earlier and more precise diagnosis of mild TBI, which could ultimately lead to improved treatment outcomes and faster recovery for patients."


Gold Member
Aspiration System
VACUSAFE
Online QC Software
Acusera 24•7
CMV CLIA Diagnostic
CLIA CMV IgA Screen Group
Hematology Consumables
Bioblood Devices
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: Researchers use a novel immobilized liposome-bound gel beads method to measure CEC levels and their association with cardiovascular risks (Photo courtesy of Institute of Science Tokyo)

Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features

Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.