Study Supports Multi-Omic Blood Test Strategy for Ovarian Cancer Detection
Researchers identified coordinated lipid, metabolite, and protein signatures in symptomatic patients, supporting a multi-omic strategy for earlier ovarian cancer detection.
Researchers identified coordinated lipid, metabolite, and protein signatures in symptomatic patients, supporting a multi-omic strategy for earlier ovarian cancer detection.
The test analyzes digital biopsy images to help predict treatment response and long-term outcomes for patients with localized prostate cancer.
A new position statement warns that albumin-adjusted calcium formulas are unreliable and may lead to patient misclassification.
Early results indicate the process could reduce sample preparation time by approximately 40% to 50%, while improving consistency by removing variability linked to staining conditions.
The funding will support manufacturing and commercial partnerships for a system that analyzes multiple protein targets in less than two hours.
Research suggests that only 12% of men receiving testosterone prescriptions underwent appropriate testing.
Research suggests new sequencing technologies can help labs move from tissue-level averages to cell-specific testing for precision exercise medicine.
The complete blood count analyzer, cleared for commercial use with UKCA marking, requires a small blood sample comparable to that used by a glucose meter.
HerAnova Lifesciences presented validation data for HerResolve, a blood-based endometriosis test, showing 94.4% accuracy and detection of cases missed by imaging.
The noninvasive method uses paper spray and mass spectrometry to identify disease biomarkers in less than 30 seconds.
The Fleming Initiative and Cepheid have launched a 30-month study in England to compare rapid molecular and traditional culture screening for drug-resistant carbapenemase-producing Enterobacterales in hospital settings.
The test utilizes genomic sequencing and AI to identify biological signals associated with early-stage disease.
The cobas liat system delivers PCR results in 15 minutes, detecting and differentiating between three Bordetella pathogens including whooping cough.
The screening tool identifies specific molecules produced by gut bacteria to distinguish children with autism from typically developing peers.