SIGN UP FOR UPDATES!
Sign up for Englemed updates from TwitterSign up for Englemed updates from Facebook
ENGLEMED
Contact Englemed
Our contact email address.
We can provide a specialist, tailored health and medical news service for your site.
Click here for more information
RSS graphic XML Graphic Add to Google
About Englemed news services - services and policies.
Englemed News Blog - Ten years and counting.
Diary of a reluctant allergy sufferer - How the British National Health Service deals with allergy.
BOOKS AND GIFTS THIS WAY!
BookshopFor books on women's health, healthy eating ideas, mental health issues, diabetes, etc click here
SEARCH THIS SITE
Copyright Notice. All reports, text and layout copyright Englemed Ltd, 52 Perry Avenue, Birmingham UK B42 2NE. Co Registered in England No 7053778 Some photos copyright Englemed Ltd, others may be used with permission of copyright owners.
Disclaimer: Englemed is a news service and does not provide health advice. Advice should be taken from a medical professional or appropriate health professional about any course of treatment or therapy.
FreeDigitalPhotos
www.freedigitalphotos.net
FreeWebPhotos
www.freewebphoto.com
FROM OUR NEWS FEEDS
World progress on child and maternal health measured
Fri September 20th - The world has made substantial improvements in child and maternal health this century, according to a major analysis. More
Child gene screening points to adult cancer drugs
Fri September 20th - Genetic screening of children with tumours can point to unexpected treatments, according to the findings of a UK project. More
RECENT COMMENTS
On 08/02/2018 David Kelly wrote:
Would you like to write a piece about this to be i... on Researchers unveil new pain re...
On 23/10/2017 Cristina Pereira wrote:
https://epidemicj17.imascientist.org.uk/2017/06/21... on HIV breakthrough - MRC...
On 12/09/2017 Aparna srikantam wrote:
Brilliant finding! indeed a break through in under... on Leprosy research breakthrough...
On 01/07/2017 Annetta wrote:
I have been diagnosed with COPD for over 12 years.... on Seaweed plan for antimicrobial...
On 12/03/2017 Steph wrote:
The photo you have paired with this article is its... on 'Fat shaming' limits...
OTHER NEWS FEEDS OF INTEREST
ENGLEMED HEALTH NEWS

Machine learning boosts cardiac risk profile

Wednesday September 4th, 2019

New technology can spot several of the underlying red flags for a future heart attack, British developers say.

Professor Charalambos Antoniades at the University of Oxford, UK, and colleagues created a new biomarker which they call the fat radiomic profile. It was discovered using machine learning, to detect biological red flags in the perivascular space lining blood vessels which supply blood to the heart.

Details appeared yesterday (3 September) in The European Heart Journal. The authors explain that it identifies inflammation, scarring and changes to these blood vessels.

The team hopes this will be a significant improvement on the current approach when someone arrives at hospital with chest pain. Currently, people are given a coronary CT angiogram to check for any narrowed or blocked segments, which tends to only identify the highest-risk patients.

Professor Antoniades and the team developed the new method after testing fat biopsies from 167 people undergoing cardiac surgery, to analyse the expression of genes associated with inflammation, scarring and new blood vessel formation.

Findings were compared to coronary CT angiogram results. This was then verified on figures from 5,487 people who went on to have a heart attack or cardiovascular death.

Professor Antoniades said: “Just because someone’s scan of their coronary artery shows there’s no narrowing, that does not mean they are safe from a heart attack.

“By harnessing the power of AI, we’ve developed a fingerprint to find ‘bad’ characteristics around people’s arteries. This has huge potential to detect the early signs of disease, and to be able to take all preventative steps before a heart attack strikes, ultimately saving lives.”

Oikonomou, E. K. et al. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography. European Heart Journal 3 September 2019 doi: 10.1093/eurheartj/ehz592

https://academic.oup.com

Tags: Heart Health | UK News

Printer friendly page Printer friendly page

Comment on this article:

Name:
Email:
Comment:
<a>,<b> & <p> tags allowed
Please enter the letters displayed:
(not case sensitive)
CATEGORIES