Issue

A novel artificial intelligence (AI) method based on blood and brain gene expression patterns accurately predicts the severity and progression of neurodegenerative disorders such as Alzheimer’s disease and Huntington’s disease.

Despite their rapid uptake in clinical practice and overall high sensitivity and specificity for assessing fetal aneuploidies, noninvasive prenatal tests (NIPT) sometimes produce results discordant with the fetal genetic information or provide noninformative results, demonstrating a need to develop novel diagnostic alternatives. In The Journal of Molecular Diagnostics, researchers unveiled…

A glycoprotein with a suspected link to kidney disease proved its salt as a risk marker for acute kidney injury (AKI) in a study published in New England Journal of Medicine. Soluble urokinase plasminogen activator receptor (suPAR) was able to predict AKI across clinical settings and in experimental models.

Responding to medical incidents associated with biotin interference, the AACC Academy has issued best practice recommendations for laboratorians and clinicians. Excess biotin can falsely increase or decrease the results of certain immunoassay tests and commercial products, and lab methods have been developed to remove biotin from suspicious specimens, Patrick B.…

To achieve more accurate results for ruling out early-onset preeclampsia, using more than one type of cutoff value may pose an advantage. Leveraging machine learning algorithms to build prediction models, researchers achieved higher negative predictive value (NPF) and positive predictive value (PPV) by modifying cutoffs for the soluble FMS-like tyrosine…