PanGIA Biotech Announces Peer-Reviewed Study in Diagnostics Showing 97.8% Sensitivity in Detecting Prostate Cancer Using a Urine-Based Liquid Biopsy with Machine Learning

PanGIA Biotech, Inc. ("PanGIA") announced a peer-reviewed clinical study published in Diagnostics, "Urine-Based Machine Learning Assay Detects Prostate Cancer," (1) demonstrating clinical validation ...

Trinity Biotech Announces Successful Clinical Results for Its Enhanced EpiCapture™ Prostate Cancer Test

Test Now Incorporates Enhanced Machine Learning Risk Prediction Algorithm Plans Underway to Commercialise Testing Service Through Trinity ...
ascopubs.org

Interpretable machine learning for prostate biopsy: Cohort study.

Influence of MRIs performed in a 6-week interval on the histopathological detection of prostate cancer with different PIRADS classifications: A real-world data analysis.

Tools to personalize prostate cancer radiation and hormone care

Researchers are developing genomic screening tools to tailor radiation dose and hormone therapy for prostate cancer patients, ...
ascopubs.org

Pelvic lymph node risk stratification in prostate cancer: A machine learning approach toward a predictive nomogram.

Predictive value of Gleason pattern 4 length on adverse surgical pathology and oncologic outcomes. This is an ASCO Meeting Abstract from the 2026 ASCO Genitourinary Cancers Symposium. This abstract ...
The New York Times

What a Prostate Cancer Diagnosis Like Biden’s Means for Patients

While prognoses for prostate cancer patients were once measured in months, experts say that advances in treatment and diagnosis now improve survival by years. By Gina Kolata Prostate cancer experts ...
Medical Xpress

Recurrent prostate cancer: Two treatment strategies with uncertain outcomes compared

Imperial College London investigators compared focal therapy with prostate removal surgery for men with prostate cancer that returned after radiotherapy. Matched analyses estimated 10-year ...