関連する実験動画

Updated: Nov 9, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

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人口の健康モニタリングシステムへ

Gillian M Belbin1, Sinead Cullina2, Stephane Wenric2

  • 1Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Cell
|April 16, 2021
PubMed
まとめ

この研究は 電子医療記録と ゲノムデータを結びつけ NYCの17の祖先のコミュニティを 特定しました 発見は健康結果の格差と遺伝子変異の違いを明らかにし,人口の健康モニタリングを改善しました.

キーワード:
バイオバンクコンピュータ用ゲノミクス電子医療記録遺伝的祖先についてゲノム医学健康格差機械学習人口の健康

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