Pathomics | List of Frontiers open access articles

Original Research

Published on 19 Jun 2025

Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine

in Head and Neck Cancer

Yunfei Li
Dongni Zhang
Yiren Wang
Yiheng Hu
Zhongjian Wen
Cheng Yang
Ping Zhou
Wen-Hui Cheng

Frontiers in Oncology

doi 10.3389/fonc.2025.1589919

1,753 views
1 citation

Original Research

Published on 27 Jan 2025

A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients

in Cancer Immunity and Immunotherapy

Yana Qi
Yanran Hu
Chengting Lin
Ge Song
Liting Shi
Hui Zhu

Frontiers in Immunology

doi 10.3389/fimmu.2025.1530279

6,934 views
12 citations

Systematic Review

Published on 08 Jul 2024

Unveiling the landscape of pathomics in personalized immunotherapy for lung cancer: a bibliometric analysis

in Cancer Immunity and Immunotherapy

Lei Yuan
Zhiming Shen
Yibo Shan
Jianwei Zhu
Qi Wang
Yi Lu
Hongcan Shi

Frontiers in Oncology

doi 10.3389/fonc.2024.1432212

4,586 views
7 citations

Original Research

Published on 03 Sep 2025

Enhanced prediction of gene mutation and risk stratification in non-small-cell lung cancer through dual-pathway fusion of radiomics and pathomics

in Thoracic Oncology

Yang Ji
Ruisheng Ge
Wei Meng
Xinxin Yang
Hongguang Lu
Bei Lu
Chenglong Zheng
Yang Teng
Hong Pan
Ling Liu

Frontiers in Oncology

doi 10.3389/fonc.2025.1646851

2,388 views

Perspective

Published on 31 Jul 2019

The Promise of Digital Biopsy for the Prediction of Tumor Molecular Features and Clinical Outcomes Associated With Immunotherapy

in Pathology

Giuseppe Luigi Banna
Timothée Olivier
Francesco Rundo
Umberto Malapelle
Filippo Fraggetta
Massimo Libra
Alfredo Addeo

Frontiers in Medicine

doi 10.3389/fmed.2019.00172

9,685 views
57 citations

Original Research

Published on 24 Nov 2025

Pathomics-based machine learning model predicts interferon-gamma expression in head and neck squamous cell carcinoma patients

in Cancer Immunity and Immunotherapy

Jintao Yu
Wei Teng
Gang Yu
Zheng Wang
Bin Bai
Yan Wang
Fei Wang

Frontiers in Immunology

doi 10.3389/fimmu.2025.1652003

1,256 views

Original Research

Published on 02 Nov 2022

A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy

in Cancer Immunity and Immunotherapy

Yu-Chong Yu
Tian-Ming Shi
Sheng-Lan Gu
Yu-Hong Li
Xiao-Ming Yang
Qiong Fan
Yu-Dong Wang

Frontiers in Oncology

doi 10.3389/fonc.2022.1053800

4,163 views
5 citations

Original Research

Published on 19 Feb 2026

Inferring tumor immune microenvironment -related risk states from pretreatment H&E pathomics and clinical biomarkers to predict checkpoint inhibitor pneumonitis in advanced NSCLC: a multicenter multimodal study

in Cancer Immunity and Immunotherapy

Lei Yuan
Qi Wang
Fei Sun
Wenlong Yang
Jie Lei
Juan Liu
Yiwei Fan
Yibo Shan
Yi Lu
Yaojing Zhang

Frontiers in Immunology

doi 10.3389/fimmu.2026.1792179

274 views

Review

Published on 19 Jul 2023

Recent advances of pathomics in colorectal cancer diagnosis and prognosis

in Gastrointestinal Cancers: Colorectal Cancer

Yihan Wu
Yi Li
Xiaomin Xiong
Xiaohua Liu
Bo Lin
Bo Xu

Frontiers in Oncology

doi 10.3389/fonc.2023.1094869

9,288 views
23 citations

Original Research

Published on 11 Aug 2025

Deep learning and pathomics analyses predict prognosis of high-grade gliomas

in Neuro-Oncology and Neurosurgical Oncology

Yuchen Zhu
Yuxi Gong
Weilin Xu
Xingjian Sun
Gefei Jiang
Lei Qiu
Kexin Shi
Mengxing Wu
Yinjiao Fei
Jinling Yuan

Frontiers in Neurology

doi 10.3389/fneur.2025.1614678

2,511 views
1 citation

Original Research

Published on 20 Sep 2024

Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study

in Cancer Immunity and Immunotherapy

Dan Han
Hao Li
Xin Zheng
Shenbo Fu
Ran Wei
Qian Zhao
Chengxin Liu
Zhongtang Wang
Wei Huang
Shaoyu Hao

Frontiers in Immunology

doi 10.3389/fimmu.2024.1453232

7,450 views
9 citations

Original Research

Published on 06 Oct 2022

The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study

in Molecular and Cellular Oncology

Valentina Brancato
Carlo Cavaliere
Nunzia Garbino
Francesco Isgrò
Marco Salvatore
Marco Aiello

Frontiers in Oncology

doi 10.3389/fonc.2022.1005805

9,032 views
36 citations

Case Report

Published on 10 Feb 2023

An advanced molecular medicine case report of a rare human tumor using genomics, pathomics, and radiomics

in Computational Genomics

Li Ma
Erich A. Peterson
Ik Jae Shin
Jason Muesse
Katy Marino
Mathew A. Steliga
Omar Atiq
Konstantinos Arnaoutakis
Christopher Wardell
Jacob Wooldridge

Frontiers in Genetics

doi 10.3389/fgene.2022.987175

5,692 views
4 citations

Original Research

Published on 27 Feb 2024

Clinical application of machine learning‐based pathomics signature of gastric atrophy

in Gastrointestinal Cancers: Gastric and Esophageal Cancers

Yadi Lan
Bing Han
Tianyu Zhai
Qianqian Xu
Zhiwei Li
Mingyue Liu
Yining Xue
Hongwei Xu

Frontiers in Oncology

doi 10.3389/fonc.2024.1289265

3,736 views
5 citations

Original Research

Published on 14 May 2020

Integration of Digital Pathologic and Transcriptomic Analyses Connects Tumor-Infiltrating Lymphocyte Spatial Density With Clinical Response to BRAF Inhibitors

in Skin Cancer

Arturas Ziemys
Michelle Kim
Alexander M. Menzies
James S. Wilmott
Georgina V. Long
Richard A. Scolyer
Larry Kwong
Ashley Holder
Genevieve Boland

Frontiers in Oncology

doi 10.3389/fonc.2020.00757

5,119 views
11 citations

Original Research

Published on 23 Feb 2026

Development and validation of a pathomics-driven machine learning model for individualized prediction of neoadjuvant chemotherapy response and early recurrence in HR-positive, HER2-negative breast cancer

in Breast Cancer

Jiaxian Yue
Jiaxiang Liu
Xiyu Kang
Pei Yuan
Wei Wang
Zhanyu Wang
Chao Shang
Qingyao Shang
Guangyu Li
Xubin Dong

Frontiers in Oncology

doi 10.3389/fonc.2026.1770037

Articles

Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine

A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients

Unveiling the landscape of pathomics in personalized immunotherapy for lung cancer: a bibliometric analysis

Enhanced prediction of gene mutation and risk stratification in non-small-cell lung cancer through dual-pathway fusion of radiomics and pathomics

The Promise of Digital Biopsy for the Prediction of Tumor Molecular Features and Clinical Outcomes Associated With Immunotherapy

Pathomics-based machine learning model predicts interferon-gamma expression in head and neck squamous cell carcinoma patients

A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy

Inferring tumor immune microenvironment -related risk states from pretreatment H&E pathomics and clinical biomarkers to predict checkpoint inhibitor pneumonitis in advanced NSCLC: a multicenter multimodal study

Recent advances of pathomics in colorectal cancer diagnosis and prognosis

Deep learning and pathomics analyses predict prognosis of high-grade gliomas

Whole slide image-based weakly supervised deep learning for predicting major pathological response in non-small cell lung cancer following neoadjuvant chemoimmunotherapy: a multicenter, retrospective, cohort study

The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study

An advanced molecular medicine case report of a rare human tumor using genomics, pathomics, and radiomics

Clinical application of machine learning‐based pathomics signature of gastric atrophy

Integration of Digital Pathologic and Transcriptomic Analyses Connects Tumor-Infiltrating Lymphocyte Spatial Density With Clinical Response to BRAF Inhibitors

Development and validation of a pathomics-driven machine learning model for individualized prediction of neoadjuvant chemotherapy response and early recurrence in HR-positive, HER2-negative breast cancer