| For: | Mao XY, Perez-Losada J, Abad M, Rodríguez-González M, Rodríguez CA, Mao JH, Chang H. iCEMIGE: Integration of CEll-morphometrics, MIcrobiome, and GEne biomarker signatures for risk stratification in breast cancers. World J Clin Oncol 2022; 13(7): 616-629 [PMID: 36157157 DOI: 10.5306/wjco.v13.i7.616] |
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| URL: | https://www.wjgnet.com/2218-4333/full/v13/i7/616.htm |
| Number | Citing Articles |
| 1 |
Hong Yan, April W. Mao, Dan Li, Guangbo Fu, Manuel Jesús Pérez-Baena, Alejandro Jiménez-Navas, Dawei Wang, Ryan Hong, Weidong Cai, Jesus Pérez-Losada, Kuang-Yu Jen, Sen Wang, Shan Peng, Mary Helen Barcellos-Hoff, Han Shen, Ning Lin, Jian-Hua Mao, Yao Fu, Kenneth A. Iczkowski, Shuchi Gulati, Hang Chang. AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors. Cancer Letters 2026; 647 doi: 10.1016/j.canlet.2026.218447
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| 2 |
Hang Chang, Jesus Perez-Losada, Jian-Hua Mao. Emerging multifaceted roles of the microbiome in cancer susceptibility. World Journal of Clinical Oncology 2025; 16(9): 111379 doi: 10.5306/wjco.v16.i9.111379
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| 3 |
Xu Wang, April W. Mao, Sirui Pan, Dawei Wang, Lili He, Hannes Vogel, Jian-Hua Mao, William Weiss, Tao Li, Hang Chang. Cellular morphometric biomarkers and large language model predict prognosis and treatment response in neuroblastoma patients: A retrospective and double-blind prospective single arm clinical study. European Journal of Cancer 2025; 218 doi: 10.1016/j.ejca.2025.115273
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| 4 |
Reetesh Kumar, Rupak Nagraik, Sorabh Lakhanpal, Mosleh Mohammad Abomughaid, Niraj Kumar Jha, Rohan Gupta. Artificial intelligence in gut microbiome research: Toward predictive diagnostics for neurodegenerative disorders. Acta Microbiologica et Immunologica Hungarica 2025; 72(4) doi: 10.1556/030.2025.02725
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| 5 |
Manuel J Pérez-Baena, Jian-Hua Mao, Jesús Pérez-Losada, Ángel Santos-Briz, Hang Chang, Javier Cañueto. Artificial intelligence-empowered cellular morphometric risk score improves prognostic stratification of cutaneous squamous cell carcinoma. Clinical and Experimental Dermatology 2024; 49(7) doi: 10.1093/ced/llad264
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| 6 |
Shuyu Li, Nan Zhang, Hao Zhang, Ran Zhou, Zirui Li, Xue Yang, Wantao Wu, Hanning Li, Peng Luo, Zeyu Wang, Ziyu Dai, Xisong Liang, Jie Wen, Xun Zhang, Bo Zhang, Quan Cheng, Qi Zhang, Zhifang Yang. Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses. Journal of Big Data 2023; 10(1) doi: 10.1186/s40537-023-00809-1
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| 7 |
Zhengqin Zhu, Yiting Yang, Libin Pan, Liefeng Ma, Luo Fang. Gut Microbiota Metabolic Reprogramming Drives Endocrine and Immune Resistance in Hormone-Dependent Cancers. Cancers 2026; 18(8) doi: 10.3390/cancers18081218
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| 8 |
Houda Bendani, Nasma Boumajdi, Lahcen Belyamani, Azeddine Ibrahimi. Revolutionizing breast cancer immunotherapy by integrating AI and nanotechnology approaches: review of current applications and future directions. Bioelectronic Medicine 2025; 11(1) doi: 10.1186/s42234-025-00173-w
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| 9 |
Minhyeok Lee. Recent Advancements in Deep Learning Using Whole Slide Imaging for Cancer Prognosis. Bioengineering 2023; 10(8) doi: 10.3390/bioengineering10080897
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| 10 |
Marco Teixeira, Francisco Silva, Rui M. Ferreira, Tania Pereira, Ceu Figueiredo, Hélder P. Oliveira. A review of machine learning methods for cancer characterization from microbiome data. npj Precision Oncology 2024; 8(1) doi: 10.1038/s41698-024-00617-7
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| 11 |
Ronak Naeemaee, Keith Harris, Neil Cross, Jon Griffin, Lewis A. Quayle. Innovations in biomarker stratification for precision oncology. Clinical and Experimental Medicine 2026; 26(1) doi: 10.1007/s10238-026-02150-2
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| 12 |
Yuqing Zhang, Xu Wang, Xu Yang, Qi Hu, Kuldeep Chawla, Bo Hang, Jian-Hua Mao, Antoine M. Snijders, Hang Chang, Yankai Xia. Chemical mixture exposure patterns and obesity among U.S. adults in NHANES 2005–2012. Ecotoxicology and Environmental Safety 2022; 248 doi: 10.1016/j.ecoenv.2022.114309
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| 13 |
Xuanyu Mao, Yimeng Cai, Sarah Long, Jesus Perez-Losada, Jian-Hua Mao, Hang Chang. Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1178568
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