臓器移植におけるデジタルツイン技術の導入:コンセプト,新興のエビデンス,および臨床翻訳経路
David B Olawade1, Aderonke Odetayo2, Eghosasere Egbon3
1Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Department of Public Health, School of Business and Health Studies, York St John University, London, United Kingdom.
Transplantation reviews (Orlando, Fla.)
|February 17, 2026
まとめ
デジタルツインは,ダイナミックな患者のレプリカを作成することにより,移植におけるパーソナライズされた精密医療を提供しています. これらのツールは,ドナーの評価,臓器保存,および終身免疫管理を支援し,移植の結果の改善を約束します.
科学分野:
- デジタル・ヘルス デジタル・ヘルス
- 計算生物学とは,計算生物学である.
- 精密医療とは
背景:
- デジタルツインは,患者または臓器のデータ主導の計算上のレプリカであり,リアルタイムの情報で進化しています.
- 移植は,複雑な免疫学的管理と時間的に重要な決定のために,精密医学に理想的なデータに富んだ分野です.
研究 の 目的:
- 移植のライフサイクルを通じてデジタルツインの概念化と適用をレビューする.
- 移植におけるデジタルツイン技術の臨床翻訳のためのロードマップを提案する.
主な方法:
- 移植におけるデジタルツイン,機械 perfusion,精密免疫抑制,免疫モデリング,および仮想臓器に焦点を当てたターゲット化された文献検索 (2025年6月〜10月).
- スコーピングレビュー,メカニズム研究,臨床調査,技術ソースの優先順位付け.
主要な成果:
- 基礎的な応用には,生きているドナーのための仮想肝臓双子体と,臓器評価のためのノルモサーミックマシン perfusion データが含まれています.
- 免疫抑制薬 (タクロリムスなど) の精度の高い投与システムと,拒絶予測のための免疫系の双子薬が開発されています.
- 証拠には,シミュレーションと早期の薬理動力学/薬理動力学研究が含まれていますが,将来の検証は限られています.
結論:
- デジタルツインは,患者の旅路を通じて移植の意思決定を向上させるための大きな希望を示しています.
- 広範な採用には,厳格な検証,相互運用可能なデータインフラ,安全と公平性を優先する堅牢なガバナンスフレームワークが必要です.
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