From algorithm to verification: based on network toxicology and machine learning, the immunomodulatory role of IGFBP1/MKI67/C9 in perfluorooctanoic acid-induced osteoarthritis was discovered, and a diagnostic model was constructed - Scorecard - MDSpire

From algorithm to verification: based on network toxicology and machine learning, the immunomodulatory role of IGFBP1/MKI67/C9 in perfluorooctanoic acid-induced osteoarthritis was discovered, and a diagnostic model was constructed

  • By

  • Xinzhou Huang

  • Yongkun Wei

  • Yani Rao

  • Yue Wei

  • Hui Chen

  • Yunping Bao

  • May 28, 2026

  • 0 min

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Clinical Scorecard: Unveiling the Immunomodulatory Effects of IGFBP1/MKI67/C9 in Perfluorooctanoic Acid-Induced Osteoarthritis: A Machine Learning and Network Toxicology Approach to Model Verification

At a Glance

CategoryDetail
Condition
Key MechanismsRevise to ensure claims are directly sourced.
Target Population
Care Setting

Key Highlights

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Guideline-Based Recommendations

Diagnosis

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Management

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Monitoring & Follow-up

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Risks

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Patient & Prescribing Data

Support insights with specific studies or guidelines.

Clinical Best Practices

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Related Resources & Content

Original Source(s)

From algorithm to verification: based on network toxicology and machine learning, the immunomodulatory role of IGFBP1/MKI67/C9 in perfluorooctanoic acid-induced osteoarthritis was discovered, and a diagnostic model was constructed

  • by Xinzhou Huang, Yongkun Wei, Yani Rao, Yue Wei, Hui Chen, Yunping Bao

  • May 28, 2026

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