Integration of Metabolic Assessment on Phenylalanine Axis and Clinical Databank-Based Artificial Intelligence Computation in Heart Failure: Biomarker Panel Development for Early Identification of Worsening Heart Failure and Improved Post-Acute Care( I )

Wang, Chao-Hung (PI)
Chen, Jeng Wei (CoPI)
Chien, Kun-Yi (CoPI)
Hsu, Wan-Tseng (CoPI)
Liu, Min Hui (CoPI)
Pai, Tun Wen (CoPI)
Sun, Chiao-Yin (CoPI)

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Abstract

心臟衰竭影響美國約 600 萬人，全球約 6500 萬人。與 HF 相關的發病率和死亡率導致了巨大的臨床、社會和經濟負擔。雖然在急性期的治療方式已日漸成熟，然而，在接受治療後的慢性病人，後續的長期追蹤仍欠缺一個好的評估及治療策略。本研究結合多體學苯丙胺酸代謝評估與人工智慧海量資料分析技術，結合新穎生物標誌物及人工智慧運算預後之模型，優化心臟衰竭風險評估和治療決策，並進行再驗證。本研究企圖應用研究成果融入臨床醫療決策樹中的多個關鍵點，協助決策並導入相對應的治療，為心臟衰竭病人提供更精準的代謝評估與臨床管理工具，從而改善病人的生活品質，並降低疾病相關的死亡率與住院率。

Project IDs

Project ID:PC11407-5484
External Project ID:NSTC114-2321-B182-006

Status	Active
Effective start/end date	01/05/25 → 30/04/26

Keywords

Heart failure
biomarker
artificial intelligence
prognosis

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https://www.grb.gov.tw/search/planDetail?id=18005464

Integration of Metabolic Assessment on Phenylalanine Axis and Clinical Databank-Based Artificial Intelligence Computation in Heart Failure: Biomarker Panel Development for Early Identification of Worsening Heart Failure and Improved Post-Acute Care( I )

Project Details

Abstract

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