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Image: Blood ctDNA analysis can identify breast cancer patients unlikely to respond to endocrine therapy alone (photo courtesy of Adobe Stock)

Blood Test Helps Guide Treatment in Older Women with Breast Cancer

A blood-based circulating tumor DNA test may help guide treatment decisions for older women with a common form of breast cancer. More...
20 Mar 2026
Image: Plasma assays that capture tau-related signals may help predict faster progression in patients with early symptomatic Alzheimer’s disease (photo courtesy of Shutterstock)

New Plasma Tau Assay Improves Prediction of Alzheimer’s Progression

Baseline levels of p-tau217 and eMTBR-tau243 were independently associated with longitudinal cognitive and functional decline in a Phase 3 dataset. More...
20 Mar 2026
Image: The findings identify an overlooked group of at-risk adults with prediabetes using common cardiac biomarkers (photo courtesy of Adobe Stock)

Routine Blood Markers Predict Heart Failure Risk in Prediabetes

New research identifies additional factors associated with increased heart failure risk in patients with prediabetes. More...
19 Mar 2026
Image: The Elecsys ApoE4 test is the first CE marked IVD immunoassay to identify individuals carrying the ApoE4 genetic variant using a simple blood sample (Photo courtesy of Roche)

First IVD Immunoassay to Detect Alzheimer’s Risk Gene Variant Receives CE Mark

A new CE‑marked blood test now enables laboratories to identify ApoE4 carriers from a single plasma sample. More...
19 Mar 2026
Image: The method profiles cell-free material in plasma to trace disease sources from only 50 microliters of plasma (Photo courtesy of Adobe Stock)

Liquid Biopsy Method Pinpoints Disease Source From a Single Drop of Blood

A new liquid biopsy method captures high-sensitivity epigenetic fingerprints from just 50 μl of human plasma. More...
18 Mar 2026
Image: Summary of technical errors identified within GIM and GIMO manuscript submissions (Lansdon, Lisa A. et al., Clinical Chemistry (2026). DOI: 10.1093/clinchem/hvag010)

Study Reveals Widespread Errors in Gene Variant Naming

New research shows imprecision in gene and variant nomenclature is widespread across journal manuscript submissions. More...
18 Mar 2026
Image: BiT-MAML adopts meta-learning to address inter-patient variability and a hybrid architecture to capture both short-term and long-term patterns in BG levels (Photo courtesy of Professor Jaehyuk Cho, Jeonbuk National University, Korea)

AI Model Enables Personalized Glucose Predictions for Type 1 Diabetes

Research have developed a machine-learning model that improves individual glucose forecasting. More...
18 Mar 2026
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