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医学における定量的なシステム思考の重要性
1Santa Fe Institute, Santa Fe, NM 87505, USA. gbw@santafe.edu
Lancet (London, England)
|April 21, 2012
まとめ
複雑性科学とシステム生物学は,健康と病気を理解するための新しい定量的な枠組みを提供します. このアプローチは,ネットワーク構造とスケーリング法則を使用して,理想的な健康な個人を定義しようとしています.
科学分野:
- 統合医療は統合医療です.
- 複雑性科学とは,複雑性科学である.
- システム生物学 システム生物学
背景:
- 現在の医学研究と実践は,新しい視点から恩恵を受けることができます.
- 健康,病気,機能不全を理解するには,体系的なアプローチが必要です.
- 医学研究と教育における課題は,新しい理論的枠組みを必要とします.
研究 の 目的:
- 医学のための定量的な,予測的,多層の,理論的概念的枠組みを提案する.
- 新しい問題や実験プログラムのための統合された研究アジェンダを刺激する.
- 既存の医学的なアプローチを,複雑性科学とシステム生物学からの洞察で補完する.
主な方法:
- ネットワーク構造とスケーリング法則の重要性を議論する.
- 健康関連の問題の定量的な,数学的な理解を発展させる.
- 生命のベースラインスケールの定量化可能な決定要因を特定する.
主要な成果:
- ネットワーク構造とスケーリング法則は,健康現象を理解するために不可欠です.
- 定量的な枠組みは,老化,死亡率,睡眠,成長,薬物投与量などの問題を解明することができます.
- 平均的,理想的,健康的な個人のパラメータを定義することは,重要な目標です.
結論:
- 医療科学の進歩には,統合的,体系的なアプローチが不可欠である.
- 複雑性科学とシステム生物学は,医学研究に貴重なツールを提供します.
- 健康の測定可能な決定要因を理解することは,健康な個人を定義するために不可欠です.
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