PathAI (United States)

Recent papers from PathAI (United States)

1. Deep learning-based quantification of collagen and associated features from H&E-stained whole slide pathology images across cancer typesCommunications Medicine · 2026
2. Artificial Intelligence Analysis of Histological Images Accurately Identifies Luminal Subtype Urothelial Carcinomas Characterized by High Peroxisome Proliferator-Activated Receptor Gamma ExpressionAI in Precision Oncology · 2026
3. Identifying patients with human epidermal growth factor receptor 2 (HER2)–low and –ultralow breast cancer (BC): Use of digital, artificial intelligence (AI)–based computational algorithms to assist HER2 scoring by pathologists.Journal of Clinical Oncology · 2026
4. Examination of Pathologist–Artificial Intelligence Interactions and Their Impact on Pathologist Accuracy Using Artificial Intelligence–Assisted Scoring of Immunohistochemistry for Human Epidermal Growth Factor Receptor 2Archives of Pathology & Laboratory Medicine · 2026
5. Abstract 76: IHCExplore: An AI-driven computational pathology platform for accurate and scalable immunohistochemistry scoring.Cancer Research · 2026
6. Abstract 73: Accurate prediction of microsatellite instability-high gastric cancer from H&E-stained whole slide images.Cancer Research · 2026
7. P0398AI-enabled endoscopy and quantitative histology provide novel insights into relationship between macroscopic and microscopic inflammation in Ulcerative ColitisJournal of Crohn s and Colitis · 2026
8. Genetic configurations and liver niche drive tumor-intrinsic state plasticity in metastatic MSS-CRC.Journal of Clinical Oncology · 2026
9. Tumor-Intrinsic and Microenvironmental Determinants of Impaired Antitumor Immunity in Chromophobe Renal Cell CarcinomaJournal of Clinical Oncology · 2025
10. Quantitative fibrosis features from digitized H&E-stained liver biopsies reveal granular insights into fibrosis and disease progression in metabolic dysfunction-associated steatohepatitis: a retrospective analysis of STELLAR-3 and STELLAR-42025
11. Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With a Food and Drug Administration–Approved BenchmarkModern Pathology · 2025
12. Spatial Mapping of Gene Signatures in Hematoxylin and Eosin-Stained Images: A Proof of Concept for Interpretable Predictions Using Additive Multiple Instance LearningModern Pathology · 2025
13. A phase IIb randomised-controlled trial of the FFAR1/FFAR4 agonist icosabutate in MASHJournal of Hepatology · 2025
14. Impact of a machine learning-powered algorithm on pathologist HER2 IHC scoring in breast cancer2025
15. Multi-center evaluation of the Alinity m HR HPV assay with liquid-based cytology cervical specimens in the United StatesMicrobiology Spectrum · 2025
16. Cancer-specific innate and adaptive immune rewiring drives resistance to PD-1 blockade in classic Hodgkin lymphomaNature Communications · 2024
17. 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 CancerArchives of Pathology & Laboratory Medicine · 2024
18. A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classificationScientific Reports · 2024
19. Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitisNature Medicine · 2024
20. Analysis of 20 Independently Performed Assays to Measure Homologous Recombination Deficiency (HRD) in Ovarian Cancer: Findings From the Friends' HRD Harmonization ProjectJCO oncology advances. · 2024