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Cited by in F6Publishing
For: Hajjo R, Sabbah DA, Bardaweel SK, Tropsha A. Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML). Diagnostics (Basel) 2021;11:742. [PMID: 33919342 DOI: 10.3390/diagnostics11050742] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Nematollahi H, Moslehi M, Aminolroayaei F, Maleki M, Shahbazi-Gahrouei D. Diagnostic Performance Evaluation of Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer with Supervised Machine Learning Methods. Diagnostics (Basel) 2023;13. [PMID: 36832294 DOI: 10.3390/diagnostics13040806] [Reference Citation Analysis]
2 Mohan B, Kumar S, Kumar V, Jiao T, Sharma HK, Chen Q. Electrochemiluminescence metal-organic frameworks biosensing materials for detecting cancer biomarkers. TrAC Trends in Analytical Chemistry 2022;157:116735. [DOI: 10.1016/j.trac.2022.116735] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
3 Hajjo R, Sabbah DA, Abusara OH, Al Bawab AQ. A Review of the Recent Advances in Alzheimer's Disease Research and the Utilization of Network Biology Approaches for Prioritizing Diagnostics and Therapeutics. Diagnostics (Basel) 2022;12. [PMID: 36552984 DOI: 10.3390/diagnostics12122975] [Reference Citation Analysis]
4 Hajjo R, Sabbah DA, Al Bawab AQ. Unlocking the Potential of the Human Microbiome for Identifying Disease Diagnostic Biomarkers. Diagnostics 2022;12:1742. [DOI: 10.3390/diagnostics12071742] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Abouali H, Hosseini SA, Purcell E, Nagrath S, Poudineh M. Recent Advances in Device Engineering and Computational Analysis for Characterization of Cell-Released Cancer Biomarkers. Cancers (Basel) 2022;14:288. [PMID: 35053452 DOI: 10.3390/cancers14020288] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Sun X, Liu Q, Huang J, Diao G, Liang Z. Transcriptome-based stemness indices analysis reveals platinum-based chemo-theraputic response indicators in advanced-stage serous ovarian cancer. Bioengineered 2021;12:3753-71. [PMID: 34266348 DOI: 10.1080/21655979.2021.1939514] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]