ArticleNature2024
A pathology foundation model for cancer diagnosis and prognosis prediction.
Abstract readValidation Study
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Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 264 papers.
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264citing papers in PubMed
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Who cites it
264 citing papers in PubMed.
- Precision neoadjuvant treatment with AI-assisted subtyping in HR+/HER2-breast cancer: A randomized, phase 2 trial FASCINATE-N.Cell reports. Medicine · 2026Trial
- Spectral focused imaging enables enhanced colorectal adenoma detection: a multicenter, parallel randomized controlled trial.BMC medicine · 2026Trial
- A multimodal AI biomarker PATH-ORACLE improves prediction of recurrence in stage I lung adenocarcinoma.Immuno-oncology technology · 2026Article
- Accurate and well-powered case-control analysis of spatial molecular data.Nature methods · 2026Article
- Predicting PD-L1 + CD8 - status in non-small cell lung cancer tissue from clinical indicators using machine learning.Chinese medical journal · 2026Article
- A Generalizable Multimodal Model for Treatment-Stratified Risk and Survival Assessment under Real-World Constraints: A Multi-Center Study of Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- LungGPT: A unified multimodal system for interpretable diagnosis and clinical decision support of respiratory diseases.Cell reports. Medicine · 2026Article
- Ensemble learning of pathology foundation models for precision oncology.Cancer cell · 2026Article
- Multimodal radiopathomics model predicts postoperative metachronous liver metastasis in gastric cancer.Nature communications · 2026Article
- SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types.Nature cancer · 2026Article
- Identifying breast cancer subtypes and exploring spatial expression patterns of the key subtype-specific gene based on pathological images, single-cell sequencing, and spatial transcriptomic data.Breast cancer (Tokyo, Japan) · 2026Article
- End-to-end multimodal pathology foundation model with clinical dialogue.Nature medicine · 2026Article
- Article
- Histological aging signatures for monitoring tissue-specific aging and disease.Nature medicine · 2026Article
- Development and evaluation of a large language model-based, retrieval-augmented generation application for query response in early oncology clinical trials.ESMO real world data and digital oncology · 2026Article
- Integration of Histologic Pattern Classifiers and Graph Convolutional Networks for Prognostic Prediction in Lung Adenocarcinoma.JTO clinical and research reports · 2026Article
- The Missing Millions: Building Cancer Pathology Artificial Intelligence for Safety Net Populations.Mayo Clinic proceedings. Digital health · 2026Review
- Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.Virchows Archiv : an international journal of pathology · 2026Article
- Generalizability of a biopsy-trained artificial intelligence algorithm to TURP and HoLEP specimens for detection of incidental prostate adenocarcinoma.Diagnostic pathology · 2026Article
204 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
29 authors.
Xiyue Wang *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-3597-9090
Junhan Zhao *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0316-8365
Eliana MarosticaDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Wei YuanCollege of Biomedical Engineering, Sichuan University, Chengdu, China.
Jietian JinDepartment of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jiayu ZhangCollege of Biomedical Engineering, Sichuan University, Chengdu, China.
Ruijiang LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-0232-5998
Hongping TangDepartment of Pathology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
Kanran WangDepartment of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yu LiDepartment of Pathology, Chongqing University Cancer Hospital, Chongqing, China.
Fang WangDepartment of Pathology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Yulong PengDepartment of Pathology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Junyou ZhuDepartment of Burn, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jing ZhangCollege of Biomedical Engineering, Sichuan University, Chengdu, China.ORCID 0000-0003-2663-053X
Christopher R JacksonDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Jun ZhangTencent AI Lab, Shenzhen, China.
Deborah DillonDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Nancy U LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0003-2263-5413
Lynette ShollDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Thomas DenizeDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
David MeredithDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Keith L LigonDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-7733-600X
Sabina SignorettiDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-5000-9105
Shuji OginoDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-3909-2323
Jeffrey A GoldenDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
MacLean P NasrallahDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-4861-0898
Xiao HanTencent AI Lab, Shenzhen, China.ORCID 0000-0002-5151-6547
Sen YangDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. sen.yang.scu@gmail.com.ORCID 0000-0002-0639-4122
Kun-Hsing YuDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Kun-Hsing_Yu@hms.harvard.edu.ORCID 0000-0001-9892-8218
Funding
Targeting the Vasular SystemP50CA165962 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WENDY Beth LONDON · 2013 to 2026
$33.5MRobust, Generalizable, and Fair Machine Learning Models for BiomedicineR35GM142879 · NIGMS · HARVARD MEDICAL SCHOOL · PI YU, KUN-HSING · 2021 to 2025
$2.4MMitigating Hematologic Adverse Events in Patients with Myeloid Malignancies: A Novel Causal Artificial Intelligence ApproachR01HL174679 · NHLBI · HARVARD MEDICAL SCHOOL · PI Kun-Hsing Yu · 2024 to 2026
$2.3MNCI NIH HHS P50 CA165962NHLBI NIH HHS R01 HL174679NIGMS NIH HHS R35 GM142879
Abstract
Histopathology image evaluation is indispensable for cancer diagnoses and subtype classification. Standard artificial intelligence methods for histopathology image analyses have focused on optimizing specialized models for each diagnostic task
Indexed as
HistocytochemistryNeoplasmsPathology, ClinicalPattern Recognition, AutomatedDatasets as TopicDeep LearningFemaleHumansMalePrognosisReproducibility of ResultsSensitivity and SpecificitySupervised Machine Learning
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.