University Of Birmingham

The ImmunoTACE phase II trial demonstrated that patients with intermediate-stage hepatocellular carcinoma who received dendritic cell vaccination alongside standard treatment experienced significantly longer progression-free survival at 18.6 months versus 10.4 months with standard care alone.

A 12-week pilot study of 26 adults with obesity and chronic migraines found that liraglutide, a GLP-1 diabetes drug, reduced average monthly headache days from 20 to approximately 9.

Linear Diagnostics has received £1 million in NIHR funding to develop a rapid diagnostic test that can detect sexually transmitted infections in as little as five minutes using their Exponential Amplification technology.

Openwater's Open-Motion device demonstrated 79% accuracy in identifying large vessel occlusion strokes and 84% accuracy in excluding non-LVO cases in prehospital settings.

Northwestern University researchers have developed a new health metric that divides average daily heart rate by step count, providing a more reliable measure of cardiovascular fitness than either measurement alone.

More than 20% of Americans in the continental U.S. rely on groundwater containing detectable levels of PFAS chemicals, according to a comprehensive new USGS study published in Science Advances.

A novel dual-modal approach combining optical coherence tomography (OCT) and Raman spectroscopy has demonstrated 96.9% accuracy in differentiating melanoma from benign lesions when paired with machine learning algorithms.

A clinical trial led by the University of Birmingham reveals that chronic lymphocytic leukemia patients should continue Bruton Tyrosine Kinase inhibitor therapy during COVID-19 vaccination, contradicting previous observational studies.

A University of Birmingham study reveals that vancomycin, a common antibiotic for diarrhea, achieved 80% clinical remission in patients with PSC-associated inflammatory bowel disease after four weeks of treatment.

University of Birmingham researchers are revolutionizing cancer diagnosis through innovative MRI and machine learning techniques that can identify pediatric brain tumor types in just ten minutes.