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Computational Pathology

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Beyond Simple Quantification: How AI and Tumor-Stroma Ratio Are Redefining Prognosis Prediction in Hepatocellular Carcinoma
Posted innews Oncology

Beyond Simple Quantification: How AI and Tumor-Stroma Ratio Are Redefining Prognosis Prediction in Hepatocellular Carcinoma

Posted by MedXY By MedXY 04/09/2026
Researchers have developed an AI-powered framework that uncovers a non-linear relationship between tumor-stroma ratio and mortality in hepatocellular carcinoma, using a novel token-guided multimodal fusion approach to improve prognostic accuracy beyond traditional methods.
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Enhancing Prognosis in FSGS and MCD through Computational Tubular Feature Analysis
Posted inClinical Updates news Radiology Specialties

Enhancing Prognosis in FSGS and MCD through Computational Tubular Feature Analysis

Posted by MedXY By MedXY 08/12/2025
Computational quantification of tubular structures in kidney biopsies improves prognostic accuracy in focal segmental glomerulosclerosis and minimal change disease by revealing spatial relationships with interstitial fibrosis.
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