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Inflammation and cholesterol as predictors of cardiovascular events among patients receiving statin therapy

In these contemporary data from 31 245 patients who are receiving statin therapy, residual inflammatory risk appears to be more…

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Pericoronary Adipose Tissue as a Marker of Cardiovascular Risk

JACC Review Topic of the Week. In this review the authors aim to summarize the role of PCAT in cardiac…

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Stever Barclay, Secretary of State for Health and Social Care, UK

AI awards help build evidence base for technologies – health secretary

In an exclusive column for Digital Health News, Secretary of State for Health and Social Care Steve Barclay says the…

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Oxford University


Caristo Diagnostics Caristo Diagnostics is a startup that is using standard CT scans to identify potentially heart-stopping plaques. Their technology…

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Cover photo for Caristo's Symposium at SCCT Symposium

The future of comprehensive cardiovascular risk prediction using CCTA | SCCT Edinburgh 2023

Dr. Nik Sabharwal, Prof. Ronak Rajani and Dr. Alain Tavildari discuss the future of cardiovascular risk prediction and inflammation as…

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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction

Automated assessment of Epicardial adipose tissue (EAT) volume is possible in CCTA, including in patients who are technically challenging; it…

How can artificial intelligence be used to improve cardiovascular care?

BHF-funded researchers are paving the way towards future breakthroughs in heart disease research. Here are 5 big questions we’re helping…

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Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice

The AI-assisted analysis of CT imaging data can revolutionize CVD prevention; the integration of patient’s risk factor profile, quantitative metrics…

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