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 | Cervical (HPV) |
A new survey-based study finds that more than half of physically Disabled women would prefer at-home human papillomavirus testing over traditional clinic-based cervical screening.
Read MorePosted by CLP Edit Staff | Mar 30, 2026 | Breast |
Using causal artificial intelligence and digital pathology, the test moves beyond population-level averages to predict patient-specific chemotherapy outcomes.
Read MorePosted by CLP Edit Staff | Mar 26, 2026 | Lab Management |
A national eMERGE study found that genetic risk results can be returned at scale, with over 70% of high-risk patients receiving counseling, though disparities in access persist, according to the American Journal of Human Genetics.
Read MorePosted by CLP Edit Staff | Mar 26, 2026 | Digital Pathology |
Pictor Labs has introduced an on-premises hardware system for AI-powered virtual staining, enabling pathology labs to generate digital stains locally without transferring tissue images to external cloud infrastructure.
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