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The EPMA Journal|March 7, 2020
Colorectal cancer in Saudi Arabia as the proof-of-principle model for implementing strategies of predictive, preventive, and personalized medicine in healthcareMesnad Alyabsi, Abdulrahman Alhumaid, Haafiz Allah-Bakhsh, et al.The EPMA Journal|December 12, 2022
Predictive genomic tools in disease stratification and targeted prevention: a recent update in personalized therapy advancementsNeha Jain, Upendra Nagaich, Manisha Pandey, et al.The EPMA Journal|December 12, 2022
Comprehensive analysis of autoimmune-related genes in amyotrophic lateral sclerosis from the perspective of 3P medicineShifu Li, Qian Zhang, Jian Li, et al.The EPMA Journal|December 12, 2022
Comprehensive multi-omics analysis of the m7G in pan-cancer from the perspective of predictive, preventive, and personalized medicineXiaoliang Huang, Zuyuan Chen, Xiaoyun Xiang, et al.The EPMA Journal|December 12, 2022
Predictive, preventive, and personalized management of retinal fluid via computer-aided detection app for optical coherence tomography scansTen Cheer Quek, Kengo Takahashi, Hyun Goo Kang, et al.The EPMA Journal|March 28, 2015
Nanocrystalline cerium dioxide efficacy for gastrointestinal motility: potential for prokinetic treatment and prevention in elderlyOlena Yu Yefimenko, Yuliya O Savchenko, Tetyana M Falalyeyeva, et al.The EPMA Journal|January 14, 2014
The efficacy of probiotics for monosodium glutamate-induced obesity: dietology concerns and opportunities for preventionOleksandr A Savcheniuk, Oleksandr V Virchenko, Tetyana M Falalyeyeva, et al.The EPMA Journal|March 31, 2021
Optical coherence tomographic patterns in patients with retinal vein occlusion and macular edema treated by ranibizumab: a predictive and personalized approachD Yu Khokhlova, E A Drozdova, N I Kurysheva, et al.The EPMA Journal|March 30, 2021
Cultural bias in motor function patterns: Potential relevance for predictive, preventive, and personalized medicineKaren Otte, Tobias Ellermeyer, Masahide Suzuki, et al.The EPMA Journal|August 26, 2020
Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendationsElisha Goldstein, Kristina Yeghiazaryan, Ashar Ahmad, et al.Pageof 58