Rashid K. Sayyid, Robotic Urologic Oncology Fellow at University of Southern California, shared a post on X:
“Computational histology artificial intelligence (CHAI) biomarker for predicting HG-RFS and MIBC-PFS in a HG Ta population (n=269)
CHAI biomarker – sig assoc w/ HG-RFS (HR: 2.23, p<0.001) and MIBC-PFS (HR: 4.55, p=0.012)
AUA risk: sig assoc w/ HG-RFS (p=0.03), not MIBC-PFS (p=0.7)
EAU risk: Not assoc w/ HG-RFS (p=0.07) and MIBC-PFS (p=0.7)”
More posts featuring Rashid K. Sayyid.