2025年の内分泌高血圧:AIとマルチオミクスが検知検出に革命を起こしている方法
Jenyfer M Fuentes-Mendoza1, Marcio J Concepción-Zavaleta1, Jeny J Mendoza-Godoy2
1Grupo de investigación de Neurociencias, Metabolismo, Efectividad Clínica Y Sanitaria, Universidad Científica Del Sur, Lima, Peru.
Expert review of cardiovascular therapy
|February 18, 2026
まとめ
マルチオミクスと人工知能 (AI) は,内分泌高血圧 (EH) の診断と治療に革命を起こしています. これらの技術は,早期発見,正確なサブタイプ化,およびEH患者のパーソナライズされた管理を約束しています.
科学分野:
- エンドクリノロジー エンドクリノロジー
- 遺伝学 遺伝学とは
- 人工知能 (AI) とは,人工知能 (AI) のことです.
- システム医学 システム医学
背景:
- 内分泌高血圧 (EH) は,治療の可能性のある二次高血圧の重要なサブセットです.
- マルチオミクスとAIの進歩は,EHの診断と治療を変革しています.
- 現在のパラダイムは,早期発見,正確なサブタイプ化,およびパーソナライズされた治療戦略を可能にします.
研究 の 目的:
- EHの診断と管理におけるAIと組み合わせたマルチオミクス (ゲノミクス,トランスクリプトミクス,プロテオミクス,メタボロミクス) の役割を検討する.
- 分子情報に基づく臨床経路と非侵襲的バイオマーカーへの移行を強調する.
- EHサブタイプの差別化と治療の最適化のためのAIの統合について議論する.
主な方法:
- PubMed,Scopus,Web of Scienceの文献レビュー (2000年7月2025年) を掲載しています.
- EHにおけるマルチオミックスのデータとAIアプリケーションに関するエビデンスの統合
- 主要アルドステロン症,クッシング症候群,フェオクロモサイトーマ/パラガングリオマ,甲状腺関連の高血圧など,特定のEHサブタイプに焦点を当てます.
主要な成果:
- マルチオミクスとAIは,概念実証研究における侵襲的なテストに匹敵する診断の正確性を実証しています.
- 分子情報に基づく臨床経路,非侵襲的バイオマーカー,予測アルゴリズムへの移行は明らかである.
- AIは,様々なEH条件において,サブタイプの差別化と治療的最適化を容易にする.
結論:
- マルチオミクスとAIの融合は,EHケアにとって変革の時代の幕開けとなっている.
- 日常的な実践への翻訳は,インフラストラクチャの不平等とデータ調和を含む課題に直面しています.
- 将来の方向には,統合されたデータシステム,縦断的なマルチオーム統合,ダイナミックで個別化されたEH管理のための人間-AIの連携が含まれます.
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