Identifying biomarkers of endometriosis using serum protein fingerprinting and artificial neural networks
This study identified five serum protein biomarkers using SELDI-TOF-MS and artificial neural networks, achieving 91.7% sensitivity and 90.0% specificity in distinguishing endometriosis.
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Cited by (37)
- Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study 2025
- Identification of programmed cell death-related genes and diagnostic biomarkers in endometriosis using a machine learning and Mendelian randomization approach 2024
- Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans? 2024
- Additional file 2 of Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis 2024
- Additional file 1 of Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis 2024
- Additional file 2 of Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis 2024
- Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis 2024
- Additional file 1 of Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis 2024
- Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls 2024
- Metabolic profile of follicular fluid in patients with ovarian endometriosis undergoing IVF: a pilot study 2024
- Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans? 2024
- Current Role of Modern Chromatography with Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy in the Investigation of Biomarkers of Endometriosis 2023
- Self-report symptom-based endometriosis prediction using machine learning 2023
- Clinical use of artificial intelligence in endometriosis: a scoping review 2022
- Endometriosis Research: From Bench to Bedside 2022
- [Research progress on biomarkers for endometriosis based on lipidomics]. 2020
- Biomarkers for the Noninvasive Diagnosis of Endometriosis: State of the Art and Future Perspectives 2020
- Proteomics Research and Its Possibility of Application in Endometriosis 2019
- Proteomic Biomarkers for Endometriosis 2017
- Blood biomarkers for the non-invasive diagnosis of endometriosis 2016
- Serum Markers for the Noninvasive Diagnosis of Endometriosis 2015
- The diagnosis of endometriosis with the help of mass spectrometry (a review) 2015
- A mass spectrometric insight into the origins of benign gynecological disorders 2015
- Biomarkers of peritoneal fluid in endometriosis identified by surface-enhanced laser desorption/ionization time-of-flight 2014
- New horizons in the non-invasive diagnosis of endometriosis. 2013
- Evaluation of novel serum biomarkers and the proteomic differences of endometriosis and adenomyosis using MALDI-TOF–MS 2013
- Understanding the pathogenesis of endometriosis through proteomics: Recent advances and future prospects 2013
- Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis 2012
- Non-invasive diagnosis of endometriosis with proteomic technologies 2011
- Diagnosis of Endometriosis: Proteomics 2011
- Urinary peptide profiling identifies a panel of putative biomarkers for diagnosing and staging endometriosis 2011
- Proteomics a Key Tool for a Better Understanding of Endometriosis: a Mini- Review 2011
- Post-Translational Modifications and Protein-Specific Isoforms in Endometriosis Revealed by 2D DIGE 2010
- Peripheral biomarkers of endometriosis: a systematic review 2010
- Detection of mitochondrial biomarkers in eutopic endometria of endometriosis using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry 2010
- Differences in Mitochondrial Proteins in the Eutopic Endometrium of Patients with Adenomyosis and Endometriosis Identified Using Surface-enhanced Laser Desorption/Ionization Time-of-flight Mass Spectrometry 2010
- Proteomische Techniken zur Diagnostik der Endometriose 2010
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