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Cited by in F6Publishing
For: Goldstein E, Yeghiazaryan K, Ahmad A, Giordano FA, Fröhlich H, Golubnitschaja O. Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations. EPMA J 2020;11:505-15. [PMID: 32839667 DOI: 10.1007/s13167-020-00221-2] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Sacco A, Forgione L, Carotenuto M, Luca A, Ascierto PA, Botti G, Normanno N. Circulating Tumor DNA Testing Opens New Perspectives in Melanoma Management. Cancers (Basel) 2020;12:E2914. [PMID: 33050536 DOI: 10.3390/cancers12102914] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
2 Liskova A, Samec M, Koklesova L, Kudela E, Kubatka P, Golubnitschaja O. Mitochondriopathies as a Clue to Systemic Disorders-Analytical Tools and Mitigating Measures in Context of Predictive, Preventive, and Personalized (3P) Medicine. Int J Mol Sci 2021;22:2007. [PMID: 33670490 DOI: 10.3390/ijms22042007] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
3 San-Cristobal R, Martín-Hernández R, Ramos-Lopez O, Martinez-Urbistondo D, Micó V, Colmenarejo G, Villares Fernandez P, Daimiel L, Martínez JA. Longwise Cluster Analysis for the Prediction of COVID-19 Severity within 72 h of Admission: COVID-DATA-SAVE-LIFES Cohort. J Clin Med 2022;11:3327. [PMID: 35743398 DOI: 10.3390/jcm11123327] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Huang G, Wang C, Fu X. Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma. Future Oncol 2021. [PMID: 34374301 DOI: 10.2217/fon-2021-0659] [Reference Citation Analysis]
5 Golubnitschaja O, Liskova A, Koklesova L, Samec M, Biringer K, Büsselberg D, Podbielska H, Kunin AA, Evsevyeva ME, Shapira N, Paul F, Erb C, Dietrich DE, Felbel D, Karabatsiakis A, Bubnov R, Polivka J, Polivka J Jr, Birkenbihl C, Fröhlich H, Hofmann-Apitius M, Kubatka P. Caution, "normal" BMI: health risks associated with potentially masked individual underweight-EPMA Position Paper 2021. EPMA J 2021;:1-22. [PMID: 34422142 DOI: 10.1007/s13167-021-00251-4] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
6 Liskova A, Samec M, Koklesova L, Brockmueller A, Zhai K, Abdellatif B, Siddiqui M, Biringer K, Kudela E, Pec M, Gadanec LK, Šudomová M, Hassan STS, Zulli A, Shakibaei M, Giordano FA, Büsselberg D, Golubnitschaja O, Kubatka P. Flavonoids as an effective sensitizer for anti-cancer therapy: insights into multi-faceted mechanisms and applicability towards individualized patient profiles. EPMA J 2021;:1-22. [PMID: 34025826 DOI: 10.1007/s13167-021-00242-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Cheng J, Wang S, Jia J, Chen Q, Song Y, Li J. Association Between Pre-Treatment and Post-Treatment 3-Month Red Cell Distribution Width with Three-Year Prognosis of Prostate Cancer. J Inflamm Res 2021;14:6115-27. [PMID: 34853523 DOI: 10.2147/JIR.S342272] [Reference Citation Analysis]
8 Koklesova L, Liskova A, Samec M, Zhai K, Abotaleb M, Ashrafizadeh M, Brockmueller A, Shakibaei M, Biringer K, Bugos O, Najafi M, Golubnitschaja O, Büsselberg D, Kubatka P. Carotenoids in Cancer Metastasis-Status Quo and Outlook. Biomolecules 2020;10:E1653. [PMID: 33321708 DOI: 10.3390/biom10121653] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
9 Xu J, Yao Y, Xu B, Li Y, Su Z. Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer. Future Oncol 2022;18:215-30. [PMID: 34854737 DOI: 10.2217/fon-2021-1059] [Reference Citation Analysis]
10 Tong J, Liu P, Ji M, Wang Y, Xue Q, Yang JJ, Zhou CM. Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients. Clin Med Insights Oncol 2021;15:11795549211000017. [PMID: 33854400 DOI: 10.1177/11795549211000017] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Xu XF, Liang L, Xing H, Shen F, Huang DS, Lau WY, Yang T. Clinical utility of serum biomarkers for hepatocellular carcinoma. Biomark Med 2021;15:151-5. [PMID: 33470867 DOI: 10.2217/bmm-2020-0474] [Reference Citation Analysis]
12 Kubatka P, Mazurakova A, Samec M, Koklesova L, Zhai K, Al-ishaq R, Kajo K, Biringer K, Vybohova D, Brockmueller A, Pec M, Shakibaei M, Giordano FA, Büsselberg D, Golubnitschaja O. Flavonoids against non-physiologic inflammation attributed to cancer initiation, development, and progression—3PM pathways. EPMA Journal 2021;12:559-87. [DOI: 10.1007/s13167-021-00257-y] [Reference Citation Analysis]
13 Link B, Torres Crigna A, Hölzel M, Giordano FA, Golubnitschaja O. Abscopal Effects in Metastatic Cancer: Is a Predictive Approach Possible to Improve Individual Outcomes? J Clin Med 2021;10:5124. [PMID: 34768644 DOI: 10.3390/jcm10215124] [Reference Citation Analysis]
14 Bizzarri M, Fedeli V, Monti N, Cucina A, Jalouli M, Alwasel SH, Harrath AH. Personalization of medical treatments in oncology: time for rethinking the disease concept to improve individual outcomes. EPMA J 2021;:1-14. [PMID: 34642594 DOI: 10.1007/s13167-021-00254-1] [Reference Citation Analysis]
15 Ellinger J, Alajati A, Kubatka P, Giordano FA, Ritter M, Costigliola V, Golubnitschaja O. Prostate cancer treatment costs increase more rapidly than for any other cancer—how to reverse the trend? EPMA Journal 2022;13:1-7. [DOI: 10.1007/s13167-022-00276-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
16 Mazurakova A, Samec M, Koklesova L, Biringer K, Kudela E, Al-ishaq RK, Pec M, Giordano FA, Büsselberg D, Kubatka P, Golubnitschaja O. Anti-prostate cancer protection and therapy in the framework of predictive, preventive and personalised medicine — comprehensive effects of phytochemicals in primary, secondary and tertiary care. EPMA Journal. [DOI: 10.1007/s13167-022-00288-z] [Reference Citation Analysis]
17 Koklesova L, Samec M, Liskova A, Zhai K, Büsselberg D, Giordano FA, Kubatka P, Golunitschaja O. Mitochondrial impairments in aetiopathology of multifactorial diseases: common origin but individual outcomes in context of 3P medicine. EPMA J 2021;:1-14. [PMID: 33686350 DOI: 10.1007/s13167-021-00237-2] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
18 Mazurakova A, Koklesova L, Samec M, Kudela E, Kajo K, Skuciova V, Csizmár SH, Mestanova V, Pec M, Adamkov M, Al-ishaq RK, Smejkal K, Giordano FA, Büsselberg D, Biringer K, Golubnitschaja O, Kubatka P. Anti-breast cancer effects of phytochemicals: primary, secondary, and tertiary care. EPMA Journal. [DOI: 10.1007/s13167-022-00277-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
19 Huo L, Tan Y, Wang S, Geng C, Li Y, Ma X, Wang B, He Y, Yao C, Ouyang T. Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study. Cancer Manag Res 2021;13:3367-79. [PMID: 33889025 DOI: 10.2147/CMAR.S297794] [Reference Citation Analysis]