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Image: Acute myeloid leukemia is an aggressive blood cancer in which relapse remains a major challenge, making MRD detection critical for risk assessment and treatment planning (Image Credit: Shutterstock)

Variation in AML Residual Disease Testing Prompts Push for Standardization

Findings show measurable residual disease flow cytometry results for acute myeloid leukemia vary widely. More...
17 Sep 2026
Image Credit: Adobe Stock

CAP Updates Cancer Protocols to Refine Breast Cancer Biomarker Reporting and GIST Molecular Testing

CAP has introduced revisions to 14 Cancer Protocols to align cancer reporting with evolving WHO classifications. More...
17 Sep 2026
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ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

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17 Sep 2026
Image Credit: Adobe Stock

CAP Updates Cancer Protocols to Refine Breast Cancer Biomarker Reporting and GIST Molecular Testing

CAP has introduced revisions to 14 Cancer Protocols to align cancer reporting with evolving WHO classifications. More...
17 Sep 2026
Image: A large, international study led by City of Hope found that the new, investigational liquid biopsy, called PANXEON, was highly sensitive in detecting stage 1 and 2 pancreatic cancer and had a low rate of false positives. The test was also able to identify high-grade dysplasia, a precancerous condition of the pancreas, potentially enabling intervention before cancer develops. (Photo courtesy of City of Hope)

Multi-Biomarker Blood Test Shows Promise for Early Pancreatic Cancer Detection

An AI-enabled multi-biomarker blood test detects early-stage pancreatic cancer (87% sensitivity) and flags high-grade dysplasia. More...
16 Sep 2026
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

A nanoparticle-based blood test detects amoxicillin/penicillin allergy with 98% sensitivity. More...
16 Sep 2026
Image Credit: Diane E. MacDougall et al., FIND Lp(a) Machine Learning Model: Targeted Screening Enrichment of Elevated Lipoprotein(a) in Atherosclerotic Cardiovascular Disease, JACC: Advances (2026). DOI: 10.1016/j.jacadv.2026.103114

Machine Learning Supports Targeted Screening for Elevated Lipoprotein(a)

An AI approach leverages EMR data to target Lp(a) screening, finding ASCVD patients over 2x likelier to have high levels. More...
16 Sep 2026
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