Integrating untargeted metabolomics and deep learning approaches to identify specific metabolic signatures and new mechanisms in unstable plaques - Scorecard - MDSpire

Integrating untargeted metabolomics and deep learning approaches to identify specific metabolic signatures and new mechanisms in unstable plaques

  • By

  • Jia-Qi Ma

  • Lu Wang

  • Xiao-Peng Qu

  • Yue Zhang

  • Li-Jia Song

  • Guo-Dong Gao

  • Chao Wang

  • Long-Long Zheng

  • Qi-Xing Fang

  • Yan Qu

  • Liang-Liang Shen

  • Bei Liu

  • May 12, 2026

  • 0 min

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Clinical Scorecard: Combining Untargeted Metabolomics with Deep Learning to Uncover Metabolic Profiles and Mechanisms in Unstable Carotid Plaques

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationPatients aged 18-85 with carotid artery stenosis undergoing carotid endarterectomy
Care Setting

Key Highlights

  • additional_info

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

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      Risks

        Patient & Prescribing Data

        Detail integration of metabolic profiling into clinical workflows.

        Clinical Best Practices

        • monitoring

        References

        Original Source(s)

        Integrating untargeted metabolomics and deep learning approaches to identify specific metabolic signatures and new mechanisms in unstable plaques

        • by Jia-Qi Ma, Lu Wang, Xiao-Peng Qu, Yue Zhang, Li-Jia Song, Guo-Dong Gao, Chao Wang, Long-Long Zheng, Qi-Xing Fang, Yan Qu, Liang-Liang Shen, Bei Liu

        • May 12, 2026

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