Magnetic resonance imaging (MRI) holds great potential to spare men with suspected prostate cancer a painful biopsy. In our interview, Dr. Peter Seidensticker, Head of Medical Affairs Radiology at Bayer, outlines how MRI could be implemented as a first-line diagnostic.
Newly discovered blood biomarkers may offer new options to track Duchenne muscular dystrophy (DMD) in a less invasive way than physical tests or biopsies. This could support more tailored treatments.
Traditional diagnostic methods for epilepsy face significant limitations. A new clinical trial explores the potential of advanced brain monitoring to improve diagnosis and management of the condition.
Chronic fatigue (ME/CFS) affects millions worldwide, but is poorly understood and has long lacked reliable diagnostic tools. Now, a new blood test claims to diagnose the condition with 96% accuracy.
Researchers from the University of Birmingham’s Bladder Cancer Research Centre have found a new way of detecting tumour DNA in urine to identify bladder cancer.
Scientists created precise replicas of Candida sugar coats to understand immune responses, enabling fast bedside testing that could replace slow lab cultures.
Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI can fix this.
One in three people do not want to know about serious illnesses—even if they might be affected themselves. A new review study explores the reasons for this deliberate ignorance.
As digital transformation accelerates across healthcare, AIRA Matrix stands at the forefront of artificial intelligence innovation in pathology. The company will showcase its comprehensive portfolio of AI-driven diagnostic and analytical solutions at the upcoming European Congress of Pathology in Vienna this September.
Men assessed as healthy may still have an early form of prostate cancer. Using AI, researchers found signs that were missed in more than 80% of samples of men who later developed cancer.
Mammography image interpretation AI models are unreliable – but so are human readers. A new hybrid strategy could reduce radiologist workload by 38% without compromising diagnostic efficacy.
AI tools for adenoma polyp detection are designed to help increase the accuracy of colonoscopies. However, a new study finds that using AI may lead to loss of detection skills in health professionals.
New research suggests that KFRE, a common prognostic tool to predict kidney failure, could underestimate the risk for individuals with chronic kidney disease (CKD) who also have frailty.
Denoising of diffusion-weighted MRI data creates sharper images – but does it actually lead to better diagnostic results? Researchers explored the impact of noise removal on detecting abnormalities.
Do laboratory tests using blood-based biomarkers (BBB) represent the next type of universally recommended screening tests for Alzheimer's disease (AD)? Experts curb the high expectations for this type of diagnostic tool.
Classifying prostate cancer as “low-grade” could create a false sense of security and delay definitive treatments. A new study shows that the biopsy grade alone can paint an incomplete picture.
Dense calcifications are common in breast tissue, but not every finding in a mammogram is a precursor of cancer. New insights could lead to fewer benign biopsies and guide therapeutic development.
Two dogs have been trained to distinguish between sebum swabs from people with and without Parkinson’s disease. This is especially relevant, as a definitive diagnostic test remains elusive.
More consistent TIL assessments, more accurate patients' prognoses: New research shows how AI sharpens pathologists' interpretation of tissue samples for malignant melanoma.
