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




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."


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Automatic Hematology Analyzer
CF9600
New
Nucleic Acid Purification Instrument
QIAsymphony Connect
Thyroid Test
Anti-Thyroid EIA Test
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: Tracking blood test trends alongside unexplained weight loss may help identify patients at increased cancer risk and support earlier investigation (Image Credit: 123RF)

Blood Test Patterns Improve Cancer Risk Assessment in Primary Care

Unexplained weight loss is a common but nonspecific presentation in primary care that can precede several types of cancer, making referral decisions difficult. Routine blood tests may produce borderline... Read more

Molecular Diagnostics

view channel
Image: The Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: The model combines digitized tumor histopathology, clinical variables, and a 42-gene molecular panel using AI to generate a unified recurrence risk prediction (Image Credit: Shutterstock)

Multimodal AI Improves Breast Cancer Recurrence Risk Prediction Beyond Standard Genomic Testing

Predicting which patients with early-stage breast cancer will develop distant recurrence remains difficult, complicating decisions about long-term therapy and surveillance. Widely used genomic assays are... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.