Relationship between EZH2 expression and prognosis of patients with hepatocellular carcinoma using a pathomics predictive model by Xulin Zhou, Muran Man, Min Cui, Xiang Zhou, Yan Hu, Qinghua Liu, Youxing Deng

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Large-scale extraction of interpretable features provides new insights into kidney histopathology – A proof-of-concept study by Laxmi Gupta, Barbara Mara Klinkhammer, Claudia Seikrit, Nina Fan, Nassim Bouteldja, Philipp Gräbel, Michael Gadermayr, Peter Boor, Dorit Merhof

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The Promise of Digital Biopsy for the Prediction of Tumor Molecular Features and Clinical Outcomes Associated With Immunotherapy by Giuseppe Luigi Banna, Timothée Olivier, Francesco Rundo, Umberto Malapelle, Filippo Fraggetta, Massimo Libra, Alfredo Addeo

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Utilizing a Pathomics Biomarker to Predict the Effectiveness of Bevacizumab in Ovarian Cancer Treatment by Patrik Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qiu

Subjects: “…pathomics…”
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tRigon: an R package and Shiny App for integrative (path-)omics data analysis by David L. Hölscher, Michael Goedertier, Barbara M. Klinkhammer, Patrick Droste, Ivan G. Costa, Peter Boor, Roman D. Bülow

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Development and Validation of a Pathomics Model Using Machine Learning to Predict Expression and Prognosis in Head and Neck Cancer by Weihua Wang, Suyu Ruan, Yuhang Xie, Shengjian Fang, Junxian Yang, Xueyan Li, Yu Zhang

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Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients by Jieqiu Zhang, Qi Wu, Wei Yin, Lu Yang, Bo Xiao, Jianmei Wang, Xiaopeng Yao

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Construction of a pathomics model for predicting mRNAsi in lung adenocarcinoma and exploration of biological mechanism by Rui Chen, Yuzhen Liu, Junping Xie

Subjects: “…Pathomics…”
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Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning by Chenhua Luo, Chenhua Luo, Jiyan Yang, Zhengzheng Liu, Di Jing

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Corrigendum: Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning by Chenhua Luo, Chenhua Luo, Jiyan Yang, Zhengzheng Liu, Di Jing

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A clinical‐radiomic‐pathomic model for prognosis prediction in patients with hepatocellular carcinoma after radical resection by Qu Xie, Zeyin Zhao, Yanzhen Yang, Xiaohong Wang, Wei Wu, Haitao Jiang, Weiyuan Hao, Ruizi Peng, Cong Luo

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Predicting overall survival in hepatocellular carcinoma patients via a combined MRI radiomics and pathomics signature by Lijuan Feng, Wanyun Huang, Xiaoyu Pan, Fengqiu Ruan, Xuan Li, Siyuan Tan, Liling Long

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Assessment of AURKA expression and prognosis prediction in lung adenocarcinoma using machine learning-based pathomics signature by Cuiqing Bai, Yan Sun, Xiuqin Zhang, Zhitong Zuo

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Pathogenomics for accurate diagnosis, treatment, prognosis of oncology: a cutting edge overview by Xiaobing Feng, Wen Shu, Mingya Li, Junyu Li, Junyao Xu, Min He

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From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer by Butuo Li, Wenru Qin, Linlin Yang, Haoqian Li, Chao Jiang, Yueyuan Yao, Shuping Cheng, Bing Zou, Bingjie Fan, Taotao Dong, Linlin Wang

Subjects: “…Pathomics…”
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Pathomic and bioinformatics analysis of clinical-pathological and genomic factors for pancreatic cancer prognosis by Yang Li, Lujuan Pan, Joseph Mugaanyi, Hua Li, Gehui Li, Jing Huang, Lei Dai

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Association of the pathomics-collagen signature with lymph node metastasis in colorectal cancer: a retrospective multicenter study by Wei Jiang, Huaiming Wang, Xiaoyu Dong, Yandong Zhao, Chenyan Long, Dexin Chen, Botao Yan, Jiaxin Cheng, Zexi Lin, Shuangmu Zhuo, Hui Wang, Jun Yan

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Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach by Weiming Chu, Chen Chu, Zongmei Ding, Wei Guan, Shiyuan Li, Jixin Jiang, Yu Xue, Jianping Qiu, Aijun Guo

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Multi-Omics and Management of Follicular Carcinoma of the Thyroid by Thifhelimbilu Emmanuel Luvhengo, Ifongo Bombil, Arian Mokhtari, Maeyane Stephens Moeng, Demetra Demetriou, Claire Sanders, Zodwa Dlamini

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Identifying invasiveness to aid lung adenocarcinoma diagnosis using deep learning and pathomics by Hai Du, Xiulin Wang, Kaifeng Wang, Qi Ai, Jing Shen, Ruiping Zhu, Jianlin Wu

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