Cancer Detection News, Articles | Today's Clinical Lab

Blood Test Identifies AML Patients at Risk of Posttransplant Relapse

A small portion of acute myeloid leukemia patients in remission showed persisting mutations, which predicted their risk of death from cancer relapse

Updated guidance addresses key questions related to cervical cancer management and introduces lab report templates for clinicians

Predicting the carcinogenicity of tissue-specific driver mutations may help detect and intervene in the early stages of cancer development

Microfluidic device uses lactate levels in circulating single cells as a biomarker to detect and classify active tumor cells

Studies show that boosting the CD5+ subset of dendritic cells helps T cells effectively combat tumor cells

AI algorithms and imaging biomarkers may amp up the prediction accuracy of risk models

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Machine learning model combines fusion gene expression, serum PSA level, and Gleason score to accurately predict cancer recurrence

A T cell–macrophage combination serves as an independent biomarker to predict patient response to immunotherapies

Cancer screening delays need immediate attention to avoid a surge in late-stage diagnoses