Tag : MULTIPLE INSTANCE LEARNING

CONFERENCE UPDATE

Sustained improvement in pruritus among patients with PBC treated with seladelpar: Results from the 30-month ASSURE Study
Long-term data from the ASSURE study affirm that seladelpar, a first-in-class PPARδ agonist, provides sustained, clinically meaningful relief from cholestatic pruritus in PBC patients for up to 30 months. Findings show significant, durable improvements in numerical rating scale (NRS), 5-D Itch, and PBC-40 scores, transforming quality of life for symptomatic patients.
CONFERENCE UPDATE

AI-driven multiple instance learning advances precision in HCC histological grading
Multiple instance learning (MIL) applied to whole slide images (WSIs) was shown to improve the accuracy and consistency of hepatocellular carcinoma (HCC) histological differentiation. By capturing spatial and contextual tissue patterns, this artificial intelligence (AI) approach offers a scalable, standardized solution to support pathologists, streamline diagnostic workflows, and potentially improve clinical decision-making in HCC management.