Publications

Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis

Cell-type-specific nuclear morphology predicts genomic instability and prognosis in multiple cancer types

NASH therapies head toward landmark approval

AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH

Artificial Intelligence Enables Quantitative Assessment of Ulcerative Colitis Histology

Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

Rethinking Machine Learning Model Evaluation in Pathology

Distinct hepatic immunological patterns are associated with the progression or inhibition of hepatocellular carcinoma

Multi stain graph fusion for multimodal integration in pathology

Improved statistical benchmarking of digital pathology models using pairwise frames evaluation

A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis

Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association

A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

Digital pathology and artificial intelligence in translational medicine and clinical practice

Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association

PathAI ML Models Based on Human Interpretable Features Predict Clinically-Relevant Molecular Phenotypes Across Cancers

Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

Combination therapies including cilofexor and firsocostat for bridging fibrosis and cirrhosis due to NASH