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Literature DB >> 31534173

AI-derived adipose tissue biomarker for risk prediction using CCTA.

Karina Huynh¹.

Abstract

Entities: Chemical

Mesh：

Substances：
Biomarkers

Year: 2019 PMID： 31534173 DOI： 10.1038/s41569-019-0278-y

Source DB: PubMed Journal: Nat Rev Cardiol ISSN： 1759-5002 Impact factor: 32.419

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1 in total

1. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

Authors: Evangelos K Oikonomou; Michelle C Williams; Christos P Kotanidis; Milind Y Desai; Mohamed Marwan; Alexios S Antonopoulos; Katharine E Thomas; Sheena Thomas; Ioannis Akoumianakis; Lampson M Fan; Sujatha Kesavan; Laura Herdman; Alaa Alashi; Erika Hutt Centeno; Maria Lyasheva; Brian P Griffin; Scott D Flamm; Cheerag Shirodaria; Nikant Sabharwal; Andrew Kelion; Marc R Dweck; Edwin J R Van Beek; John Deanfield; Jemma C Hopewell; Stefan Neubauer; Keith M Channon; Stephan Achenbach; David E Newby; Charalambos Antoniades
Journal: Eur Heart J Date: 2019-11-14 Impact factor: 35.855

1 in total