medical diagnostics News
Latest articles and news about medical diagnostics on AXL Media.
Latest Articles
- Medical Diagnostics Shift Toward Proactive Care Through AI Heart Screenings and Portable CRISPR Technology
Published: May 1, 2026
Section: Health Technology
JMIR Publications has highlighted a transformative shift in healthcare diagnostics through the repurposing of routine mammograms and the miniaturization of CRISPR technology. Using...
- University of Tokyo Researchers Use Raman Spectroscopy to Nondestructively Map Cellular Proteome Structures
Published: Apr 28, 2026
Section: Technology
Researchers at the University of Tokyo have developed a light-based method to analyze protein abundances within living cells without destroying them. By utilizing Raman spectroscop...
- European and Inter-American Cardiology Societies Unveil SCORE2-LAC to Localize Cardiovascular Risk Assessment
Published: Apr 25, 2026
Section: Medical News
The European Society of Cardiology and the Inter-American Society of Cardiology have launched SCORE2-LAC, a specialized diagnostic tool tailored to the unique epidemiological data...
- University of Cincinnati Researchers Establish First-of-Kind EMS Biorepository to Revolutionize Out-of-Hospital Sudden Cardiac Arrest Resuscitation
Published: Apr 25, 2026
Section: Medical News
A pilot study from the University of Cincinnati has successfully demonstrated the feasibility of a biorepository that collects blood samples from patients during active cardiac arr...
- Biocompatible Polymer Sensors Eliminate Adhesives and Gels for Comfortable Long-Term Electrocardiogram Monitoring
Published: Apr 21, 2026
Section: Health Technology
Researchers at North Carolina State University and UNC-Chapel Hill have developed a skin-conforming polymer electrode that provides accurate heart monitoring without the use of irr...
- JAMA Study Finds Rapid Blood Culture Testing Not Superior to Standard Protocols for Gram-Negative Infections
Published: Apr 18, 2026
Section: Medical News
A clinical trial presented at the ESCMID Global 2026 congress indicates that rapid antimicrobial susceptibility testing (AST) does not yield better patient outcomes than standard m...
- Chinese Researchers Develop MetaRing Biosensor for Ten Minute Breast Cancer Drug Sensitivity Profiling
Published: Mar 26, 2026
Section: Research
A research team led by Prof. Wang Hongzhi has engineered a programmable plasmonic biosensor, "MetaRing," capable of rapidly identifying how breast cancer patients will respond to t...
- Lund University Researchers Develop Dual-Marker Blood Test to Drastically Reduce False Positives in Early Alzheimer's Diagnosis
Published: Mar 24, 2026
Section: Health
A clinical study involving over 500 patients has demonstrated that combining two specific tau protein markers, p-tau217 and eMTBR-tau243, significantly improves the accuracy of Alz...
- Innovative AI Heart Failure Diagnostic Tool Achieves 85% Accuracy Using Routine Ultrasound Data In Clinical Study
Published: Mar 21, 2026
Section: Health
Medical researchers at Weill Cornell Medicine and Columbia University have developed a machine learning model capable of identifying advanced heart failure by analyzing standard ca...
- University of Warwick breakthrough in terahertz imaging enables real-time non-invasive medical diagnostics
Published: Mar 21, 2026
Section: Science & Tech
Researchers have developed a compact, fiber-coupled terahertz imaging system that is five times faster than current state-of-the-art technology. This non-ionizing platform allows f...
- Advanced Large Language Models Exhibit 20 Percent Diagnostic Failure Rate in Critical Neurological Imaging Study
Published: Mar 17, 2026
Section: Science & Tech
A comparative study of leading AI models, including GPT-5 and Gemini 3 Pro, found that general-purpose large language models frequently fail to provide accurate medical diagnoses f...
- University of Warwick research warns that artificial intelligence pathology tools rely on statistical shortcuts rather than biological signals
Published: Mar 2, 2026
Section: Health
A large scale study of over 8,000 patient samples indicates that deep learning models used in cancer pathology often depend on confounding correlations rather than true biology. Re...