In Other News

• Long-Read RNA Sequencing Platform Improves Rare Disease Diagnosis

• Genetic Analysis Identifies BRCA-Linked Risks Across Multiple Cancers

• Ultrasensitive Assay Reveals Previously Undetected Tuberculosis in Hospital Patients

• Genetic Analysis Identifies BRCA-Linked Risks Across Multiple Cancers

• Study Confirms Barrett’s Esophagus as Precursor to Esophageal Cancer

• AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer

• Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates

• Syndromic Panel Enables Rapid Identification of Bloodstream Infections

• AI Tool Predicts Bevacizumab Non-Response in Metastatic Colorectal Cancer

• Blood Test Predicts Alzheimer Disease Risk Before Imaging Changes and Symptoms

• Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing

• Study Identifies Hidden B-Cell Mutations in Autoimmune Disease

• Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer

• Beckman Coulter Gains CE Mark for Rapid Assay Distinguishing Bacterial vs Viral Infections

• Junction, GRAIL Enable Scalable Access to Multi-Cancer Detection Test

• Study Identifies Hidden B-Cell Mutations in Autoimmune Disease

• Automated Sample Preparation System Standardizes Pre-Analytical Workflow for MRD and Liquid Biopsy

• Beckman Coulter Gains CE Mark for Rapid Assay Distinguishing Bacterial vs Viral Infections

• Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates

• Urine-Based Assay Predicts Severe Dengue Risk Early

• CE-Marked Blood Test Enables Monitoring of Neuroinflammation in Multiple Sclerosis

• Ultrasensitive Assay Tracks Resistance Mutations MRD Monitoring

• Study Finds ApoB Testing More Effective Than LDL for Guiding Lipid Therapy