Researchers assessed whether a blood-based 3-gene host-response test can detect active tuberculosis and help predict future disease.
Researchers at McGill University and the Research Institute of the McGill University Health Center (RI-MUHC) have developed a novel device to transplant insulin-producing cells that integrates directly with existing blood vessels in the body.
Inflammatory bowel disease (IBD), affecting an estimated 6–8 million people worldwide, may soon be monitored with a simple stool test instead of invasive procedures.
A higher dietary intake of soy and legumes is linked to a lower risk of high blood pressure, finds a pooled data analysis of the available evidence, published in the open access journal BMJ Nutrition Prevention & Health.
A finger prick blood test combined with online brain testing—all done from home—could one day effectively identify people’s risk of developing dementia, according to a new study.
When the human heart is damaged by a heart attack, stiff scar tissue eventually forms around the affected areas. This weakens the heart’s pumping ability and increases the risk of heart failure and arrhythmias. Zebrafish, by contrast, can regenerate their hearts completely.
QIMR Berghofer scientists have developed an AI screening tool that harnesses the power of cutting-edge spatial biology analysis to give pathologists “super vision” to detect hidden genetic markers of cancer in standard patient tissue samples.
New multiplexed imaging technology using standard clinical MRI systems can simultaneously map more than 20 biomarkers in high resolution, providing a comprehensive view of the brain with a single scan.
More than half a billion people worldwide are living with diabetes, the vast majority with type 2 diabetes (T2D), a chronic condition that continues to rise alongside aging populations and changing lifestyles. Despite its prevalence, the cell-type-specific mechanisms that shape beta-cell adaptation and failure over time have remained only partially understood.
A new study led by researchers from VIB and KU Leuven shows that Parkinson’s disease can be divided into distinct subtypes, helping explain why a single treatment does not work for all patients. Using a machine-learning-driven analysis, the team identified two main groups and five subgroups of the disease, marking an important step toward more personalized therapies. The findings are published in Nature Communications.