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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