Emerging Diagnostic Modalities & Innovation

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New Compact Imaging Device Enables Rapid, Label-Free Cancer Tissue Analysis Without Staining

A miniaturized metasurface-based system captures full tissue imaging data in a single acquisition, supporting faster, stain-free analysis and future portable diagnostic workflows
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UCLA Researchers Unveil A High-Sensitivity, $20 Liquid Biopsy for Multi-Disease Early Detection

Researchers at UCLA have developed MethylScan, a low-cost liquid biopsy that detects multiple cancers and liver diseases using DNA methylation
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Texas Children’s Launches Large-Scale Open Drug Discovery Platform for Alzheimer’s Therapies

The NIH-funded initiative combines high-throughput screening and AI, giving global researchers access to one of the largest Alzheimer’s discovery datasets
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Beyond Prenatal Testing: Cell-Free DNA Expands into Transfusion and Transplant Medicine

A new CAP article highlights the growing clinical utility of cfDNA across diagnostic and monitoring applications
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Ensuring Endpoint Integrity in Complex Clinical Trials

Clarity in trial definitions and communication practices underpins reliable interpretation of complex study data
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Engineered PCR and Isothermal Enzymes Aim to Accelerate Molecular Diagnostics Workflows

Watchmaker Genomics launches new PCR and RPA enzyme systems designed to improve speed and performance in molecular diagnostics
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Quest Expands Haystack MRD ctDNA Testing in City of Hope Cancer Trials

A multi-site study will evaluate how a ctDNA assay may support residual disease detection and treatment monitoring in solid tumors
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CAP Updates Cancer Protocols, Clarifies MMR/MSI Testing Discordance in New Article

The updates underscore shifts toward more standardized cancer reporting and more integrated interpretation of MMR/MSI testing in clinical decision-making
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Beyond Snapshots: How AI Is Redefining Cancer Diagnosis and Treatment

AI positions the clinical laboratory as both a diagnostic endpoint and a partner in patient care
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New AI Model Can Detect Multiple Cognitive Brain Diseases from a Single Blood Sample

The model is built from one of the world’s largest neurodegenerative protein datasets
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Counting Down to Alzheimer’s Disease

FNIH’s Alessio Travaglia, PhD, discusses the new predictive “clock” model for Alzheimer’s disease
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A New Biomarker Helps Assess the Aggressiveness of Glioblastoma

Developed by the ITACA BDSLab, it can identify different patterns of tumor growth and independently predict patient survival
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