Publications
Browse our publications to learn about how we're improving patient outcomes with AI-powered pathology.
Publication
August 2, 2025
Digital Versus Manual PD-L1 Scoring in Advanced Non-Small Cell Lung Cancer From the IMpower110 and IMpower150 Trials
Publication
August 1, 2025
A phase IIb randomised-controlled trial of the FFAR1/FFAR4 agonist icosabutate in MASH
Publication
June 22, 2025
Interpretable predictions of toxicological liver abnormalities through multiple instance learning algorithms applied to digital whole slide images
Publication
June 22, 2025
Development and Evaluation of a Deep Learning-Based Tool for Interpretable Abnormality Detection in Preclinical Toxicology Whole Slide Images
Publication
June 22, 2025
Comprehensive characterization of granular fibrotic and cellular features in liver tissue enabled by deep learning models
Publication
May 7, 2025
Comparative analysis and cross-validation of Artificial Intelligence digital pathology vs. expert hepatopathologist scoring in MASLD biopsies : Results of the LITMUS Study Cohort
Publication
May 3, 2025
Quantitative histologic features of the inflammatory microenvironment using digital pathology prior to adalimumab treatment associate with response in patients with ulcerative colitis
Publication
May 3, 2025
Leveraging Artificial Intelligence for Enhanced Histological Scoring in Ulcerative Colitis: A Comparison with Human Pathologists
Publication
May 3, 2025
Consortium-driven development of pathology foundation model-based approaches for automated scoring of histopathology in ulcerative colitis
Publication
April 25, 2025
AI-powered Approaches Accurately Predict t(11;14) Positive Multiple Myeloma from H&E-stained Histologic Sections by Identifying Regions Demonstrating Lymphoplasmacytic Cytology
Publication
April 25, 2025
Artificial intelligence enables prediction of MET amplification & associated morphologic features from H&E-stained NSCLC specimens
Publication
April 1, 2025
Evaluation of an AI-powered digital pathology tool for automated tumor detection and case prioritization
Publication
March 22, 2025
Quantitative Multimodal Anisotropy Imaging (QMAI) unveils and quantifies morphological collagen across multiple organ systems
Publication
March 22, 2025
Machine Learning-Enabled Characterization of the Tumor Microenvironment of Post-preoperative Therapy Surgical Specimens Improves Recurrence Prediction in Patients with TNBC Treated with NAC
Publication
March 22, 2025
AI-powered detection and classification of artifacts in whole-slide images of pathology specimens
Publication
March 22, 2025
Evaluation of an AI-powered digital pathology tool for automated tumor detection and case prioritization
Publication
March 22, 2025
AI-based triage of dermatopathology specimens for pathologist workload prioritization
Publication
March 17, 2025
Quantification of collagen and associated features from H&E-stained whole slide pathology images across cancer types using a physics-based deep learning model
Publication
February 5, 2025
Impact of a machine learning-powered algorithm on pathologist HER2 IHC scoring in breast cancer
Publication
December 18, 2024
Deployment of a Machine Learning Algorithm in a Real-World Cohort for Quality Control Monitoring of Human Epidermal Growth Factor-2–Stained Clinical Specimens in Breast Cancer
Publication
December 2, 2024
A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classification
Publication
November 15, 2024
Simulated machine learning-based fibrosis assessment reveals that adjusting for steatosis content in baseline and follow-up MASH biopsies can overestimate fibrosis reduction
Publication
November 15, 2024
Artificial intelligence-derived granular histological markers of inflammation and fibrosis associate with progression in patients with alcohol-related steatohepatitis
Publication
November 6, 2024
Stromal collagen features from H&E-stained whole slide images are associated with lymphocyte infiltration and survival following checkpoint inhibition in patients with non-small cell lung cancer
Publication
November 6, 2024
Machine learning-based collagen fiber quantification enables analysis of the pancreatic cancer tumor microenvironment directly from hematoxylin and eosin-stained whole slide images
Publication
November 4, 2024
Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis
Publication
November 4, 2024
Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis
Publication
November 3, 2024
Quantitative multimodal anisotropic imaging for fibrosis assessment in usual interstitial pneumonia
Publication
October 6, 2024
ContriMix: Scalable stain color augmentation for domain generalization without domain labels
Publication
October 4, 2024
ML-derived, quantitative histologic features of the inflammatory microenvironment after adalimumab induction treatment allow prediction of response in patients with ulcerative colitis
Publication
September 26, 2024
Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with aritifical intelligence algorithms
Publication
September 18, 2024
Validation of a whole slide image management system for metabolic-associated steatohepatitis for clinical trials
Publication
August 12, 2024
Spatial mapping of immunosuppressive CAF gene signatures in H&E-stained images using additive multiple instance learning
Publication
August 7, 2024
PLUTO: Pathology-Universal Transformer
Publication
August 7, 2024
AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases
Publication
July 15, 2024
Learning biologically relevant features in a pathology foundation model using sparse autoencoders
Publication
June 21, 2024
Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities
Publication
June 19, 2024
AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis
Publication
June 3, 2024
Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Publication
May 29, 2024
Analytical and Clinical Validation of AIM-NASH: A Digital Pathology Tool for Artificial Intelligence-based Measurement of Nonalcoholic Steatohepatitis Histology
Publication
April 18, 2024
Classification of the Tumor Immune Microenvironment Using Machine-Learning-Based CD8 Immunophenotyping As a Potential Biomarker for Immunotherapy and TGF-β Blockade in Nonsmall Cell Lung Cancer
Publication
April 4, 2024
Scoring PD-L1 Expression in Urothelial Carcinoma: An International Multi-Institutional Study on Comparison of Manual and Artificial Intelligence Measurement Model (AIM-PD-L1) Pathology Assessments
Publication
March 8, 2024
ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis
Publication
December 11, 2023
Fully automated histological classification of cell types and tissue regions of celiac disease is feasible and correlates with the Marsh score
Publication
December 7, 2023
Artificial intelligence-powered assessment of pathologic response to neoadjuvant atezolizumab in patients with non-small cell lung cancer: results from LCMC3 study
Publication
September 1, 2023
Validation of Digital Pathology Platform for Metabolic-Associated Steatohepatitis for Clinical Trials
Publication
August 31, 2023
Clinical trial: Effects of pegozafermin on the liver and on metabolic comorbidities in subjects with biopsy-confirmed nonalcoholic steatohepatitis
Publication
June 8, 2023
Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis
Publication
May 16, 2023
Cell-type-specific nuclear morphology predicts genomic instability and prognosis in multiple cancer types
Publication
May 4, 2023
NASH therapies head toward landmark approval
Publication
April 25, 2023
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials
Publication
April 18, 2023
Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH
Publication
February 15, 2023
Artificial Intelligence Enables Quantitative Assessment of Ulcerative Colitis Histology
Publication
November 14, 2022
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Publication
October 16, 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Publication
July 15, 2022
Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab
Publication
April 18, 2022
Rethinking Machine Learning Model Evaluation in Pathology
Publication
March 1, 2022
Distinct hepatic immunological patterns are associated with the progression or inhibition of hepatocellular carcinoma
Publication
January 4, 2022
Multi stain graph fusion for multimodal integration in pathology
Publication
January 1, 2022
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation
Publication
December 1, 2021
A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis
Publication
August 1, 2021
Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association
Publication
July 1, 2021
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH
Publication
April 15, 2021
Digital pathology and artificial intelligence in translational medicine and clinical practice
Publication
April 7, 2021
Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association
Publication
March 12, 2021
PathAI ML Models Based on Human Interpretable Features Predict Clinically-Relevant Molecular Phenotypes Across Cancers
Publication
March 12, 2021
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
Publication
February 21, 2021
Combination therapies including cilofexor and firsocostat for bridging fibrosis and cirrhosis due to NASH