PRADclass: Hybrid Gleason Grade-Informed Computational Strategy Identifies Consensus Biomarker Features Predictive of Aggressive Prostate Adenocarcinoma.

Alex Stanley BalrajSangeetha Muthamilselvan Rachanaa Raja Ashok Palaniappan

Published in: Technology in cancer research & treatment (2024)

The consensus of multiple parallel computational strategies has unmasked candidate Gleason grade-specific biomarkers. PRADclass, a validated AI model featurizing these biomarkers achieved good performance, and could be trialed to predict the differentiation of prostate cancers. PRADclass is available for academic use at: https://apalania.shinyapps.io/pradclass (online) and https://github.com/apalania/pradclass (command-line interface).

Keyphrases

prostate cancer
radical prostatectomy
clinical practice
squamous cell carcinoma
benign prostatic hyperplasia
artificial intelligence
genome wide
social media
health information
machine learning
young adults
medical students
rectal cancer
deep learning