Trinity Biotech and University at Buffalo Partner to Commercialize Sjögren’s Syndrome Biomarkers
The collaboration focuses on advancing proprietary biomarkers for the earlier and more accurate detection of the autoimmune disease.
The collaboration focuses on advancing proprietary biomarkers for the earlier and more accurate detection of the autoimmune disease.
A peer-reviewed economic analysis challenges the assumption that erythrocyte sedimentation rate and C-reactive protein tests are interchangeable, finding that combined testing reduces misdiagnoses and lowers overall costs.
A peer-reviewed study suggests molecular signatures can be identified without invasive uterine sampling using whole-transcriptome sequencing and machine learning.
The integration gives more than 4,700 oncology providers across 1,600-plus community cancer care centers direct access to order and receive results from multiple precision oncology tests within a single clinical workflow.
The updated urine test utilizes machine learning and patient ethnicity to provide individualized risk scores for aggressive disease.