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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis
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機械学習支援型ナノエージェント増感分子高分解能磁気共鳴画像データを用いたプラーク脆弱性予測

Yan Gong1,2, Menglin Wu3, Xiang Zhang2

  • 1Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin 300192, China.

ACS nano
|February 24, 2026
PubMed
まとめ

新規ナノエージェント支援型機械学習（nano-AML）技術は、アテローム性プラークの脆弱性を正確に予測する。分子高分解能血管壁MRイメージングを用いたこのアプローチは、プラークリスクを評価するための信頼できる方法を提供する。

背景:

  • Molecular imaging with paramagnetic nanoagents shows promise for detecting atherosclerotic plaque destabilization.; Current magnetic resonance (MR) imaging lacks quantitative descriptors for precise plaque risk stratification.

結論:

  • The developed nano-AML technology provides a robust and reliable method for predicting vulnerable plaques.; This approach has the potential to significantly advance the noninvasive assessment of atherosclerotic plaque risk.
キーワード:
アテローム性プラーク脆弱性泡沫状マクロファージ標的ナノエージェント高分解能血管壁イメージング機械学習分子イメージングラジオミクス

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