Vaginal Swab Detects Molecular Signals for Endometrial Cancer
A peer-reviewed study suggests molecular signatures can be identified without invasive uterine sampling using whole-transcriptome sequencing and machine learning.
Read MorePosted by CLP Edit Staff | Apr 6, 2026 | Molecular Diagnostics, Womens Health |
A peer-reviewed study suggests molecular signatures can be identified without invasive uterine sampling using whole-transcriptome sequencing and machine learning.
Read MorePosted by CLP Edit Staff | Apr 2, 2026 | Flow Cytometry Reagents & Test Kits |
Increased adoption of flow cytometry and artificial intelligence tools helps clinicians manage the rising number of indeterminate pulmonary nodules.
Read MorePosted by CLP Edit Staff | Apr 2, 2026 | Prostate |
A new study validates a machine-learning platform that detects prostate cancer through biochemical patterns in urine samples.
Read MorePosted by CLP Edit Staff | Mar 30, 2026 | Cancer, Disease States, Hematology & Serology |
A Mayo Clinic study of 674 trauma patients found elevated circulating nucleosome levels in those who developed venous thromboembolism, suggesting a potential new biomarker for early VTE risk identification.
Read MorePosted by CLP Edit Staff | Mar 27, 2026 | Molecular Diagnostics |
The companion diagnostic can now help identify patients with esophageal or gastroesophageal junction carcinoma who may be eligible for pembrolizumab treatment.
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