MedTech News
.................... by Andrew Celentano
Why zebrafish hearts heal so well: Early immune signals can improve repair even further
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.
AI screening tool gives pathologists ‘spatial super vision’ to detect hidden cancer
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.
Blood test reveals nine tumor cell ‘neighborhoods’ tied to immunotherapy outcomes
A simple blood test can reveal the geographic relationships among healthy cells surrounding a cancerous tumor, researchers at Stanford Medicine and the Mayo Clinic have found. The test is the first noninvasive way to study what’s called the tumor microenvironment, which plays a critical role in determining how different patients—even those with similar tumors—fare after diagnosis and treatment.
New MRI technology maps 20-plus brain biomarkers in a single 14-minute scan
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.
Multi4 Medical Gains CE Mark for Office-Based Bladder Cancer Treatment System
Sweden-based Multi4 Medical has received CE mark approval for its Multi4 System, an all-in-one endoscopic instrument designed to enable bladder cancer treatment during the same outpatient visit when cancer is detected.
Ribbon Bio Launches Cell-Free MiroSynth DNA and New In-Lab Cell-Free DNA Production Kit
Together, these announcements represent a step forward in increasing accessibility to complex DNA
The slow burn behind type 2 diabetes revealed
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.
Machine learning reveals two main Parkinson’s types and five subgroups
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.