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RESEARCH PAPER · Chemical Communications · 2020

Integration of ultra-high-pressure liquid chromatography–tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke

Lijian Zhang, Fei Ma, Ao Qi, Lulu Liu, Junjie Zhang, Simin Xu, Qisheng Zhong, Yusen Chen, Chun‐yang Zhang, Chun Cai

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Integration of ultra-high-pressure liquid chromatography–tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic strokeOriginalToward Machine Learning-Enhanced High-Throughput Experimentation155Analysis of Lipid Peroxidation by UPLC-MS/MS and Retinoprotective Effects of the Natural Polyphenol Pterostilbene20Artificial Intelligence in Chemistry: Current Trends and Future Directions286EGR1 and KLF4 as Diagnostic Markers for Abdominal Aortic Aneurysm and Associated With Immune Infiltration15Mass Spectrometry Imaging as a New Method: To Reveal the Pathogenesis and the Mechanism of Traditional Medicine in Cerebral Ischemia13Leveraging R (LevR) for fast processing of mass spectrometry data and machine learning: Applications analyzing fingerprints and glycopeptides6Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis84A Systematic Review and Meta-Analysis Assessing the Accuracy of Blood Biomarkers for the Diagnosis of Ischemic Stroke in Adult and Elderly Populations8Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers10Systematic review and meta-analysis of stroke blood biomarker data highlights need for more translational research methods4

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  1. Toward Machine Learning-Enhanced High-Throughput Experimentation

    Trends in Chemistry · 2021-01-01

    Natalie S. Eyke, Brent A. Koscher, Klavs F. Jensen

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  2. Analysis of Lipid Peroxidation by UPLC-MS/MS and Retinoprotective Effects of the Natural Polyphenol Pterostilbene

    Antioxidants · 2021-01-23

    Isabel Torres-Cuevas, Iván Millán, Miguel Angel Asensi, Máximo Vento, Camille Oger, Jean‐Marie Galano, Thierry Durand, Ángel Ortega

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  3. Artificial Intelligence in Chemistry: Current Trends and Future Directions

    Journal of Chemical Information and Modeling · 2021-07-15

    Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, Yanan Zhao, Steven P. Watkins, Qiongqiong Angela Zhou

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  4. EGR1 and KLF4 as Diagnostic Markers for Abdominal Aortic Aneurysm and Associated With Immune Infiltration

    Frontiers in Cardiovascular Medicine · 2022-02-09

    Chunguang Guo, Zaoqu Liu, Yu Yin, Zhibin Zhou, Ke Ma, Linfeng Zhang, Qin Dang, Long Liu, Libo Wang, Shuai Zhang, Zhaohui Hua, Xinwei Han, Zhen Li

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  5. Mass Spectrometry Imaging as a New Method: To Reveal the Pathogenesis and the Mechanism of Traditional Medicine in Cerebral Ischemia

    Frontiers in Pharmacology · 2022-06-03

    Yan Liang, Qiaoqiao Feng, Zhang Wang

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  6. Leveraging R (LevR) for fast processing of mass spectrometry data and machine learning: Applications analyzing fingerprints and glycopeptides

    Frontiers in Analytical Science · 2022-08-23

    Leah D. Pfeifer, Milani Wijeweera Patabandige, Heather Desaire

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  7. Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis

    Open Research (University of Surrey) · 2022-12-28

    Xiaonan Chen, Weikang Shu, Liang Zhao, Jingjing Wan

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  8. A Systematic Review and Meta-Analysis Assessing the Accuracy of Blood Biomarkers for the Diagnosis of Ischemic Stroke in Adult and Elderly Populations

    eNeuro · 2024-11-01

    Suebsarn Ruksakulpiwat, Wendie Zhou, Lalipat Phianhasin, Chitchanok Benjasirisan, Tingyu Su, Heba M. Aldossary, Aaron Kudlowitz, Abhilash K Challa, Jingshu Li, Kulsatree Praditukrit

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  9. Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers

    Frontiers in Immunology · 2024-12-03

    Yilan Sun, Guozhen Cheng, Dongliang Wei, Jiacheng Luo, Jiannan Liu

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  10. Systematic review and meta-analysis of stroke blood biomarker data highlights need for more translational research methods

    Nature Communications · 2026-04-30

    Christine G. Smothers, Shivam A. Gandhi, Julia Huei‐Mei Chang, Sadia M. Tahir, Jarrett Kelley, Emily Q. Wang, Kareem Fareed, Hannah Mack, Cindy Dong, Madaline Witort, Bethany L. Armentrout, Darynaisha Crawford, Jing Wang, Kara Williams, Zea Bud, Christine Horvat-Davey, Chris Winkelman, Sarah R. Martha, Jon W. Schrock, Agnieszka Anna Ardelt, Grant C. O’Connell

    Read original paper ↗ ·
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