We still have places on our fully online #HealthDataScience course led by @DDoudesis@EdinUniUsher starting on 6 January 2025. Treat yourself to an early xmas present. Apply now and develop your #datascience skills using #R. Flyer with full details below, apply using the QR code.
Our recently published paper in @BioMedCentral Health Services Research looks into the use of routine healthcare data to understand rehabilitation delivery in @NHS_Lothian (Edinburgh) hospitals during the COVID-19 pandemic.
Article link: https://t.co/uhYsTHpDbT
Join this weekโs CVS Seminar to learn how routinely collected data can be used for cardiac research!
๐๏ธ 9 October, 12:00โ13:00
Wellcome Auditorium, QMRI @EdinburghBQ
Join on Teams โก๏ธ https://t.co/vWDwmMCsRj
European Heart Journalโs top contributing institutions: the Centre for Cardiovascular Science at the University of Edinburgh, Scotland https://t.co/WwXFZ3Yei2
Great annual report from @DataCapitalEd and an honour for the Health Data Science course to be selected as one of the impactful case studies.
You can find out more about the course and how to apply here https://t.co/J7KOwNc0xY.
โจDive into the #DDIAnnualReport2023โจ Explore 20 impactful case studies, cutting-edge solutions, and DDI KPIs.
Uncover the transformative power of #data and #DDI5YearsofDelivery
Click here to read the full report: https://t.co/g3pjYcTTe7
Exciting breakthrough from @EdinburghUni! A groundbreaking trial reveals a new blood test can improve diagnosis for 1 in 5 A&E patients with suspected heart attacks.
https://t.co/NZAZ5y7qT8
Perhaps detecting all those non-ACS troponin elevations is benefitting our patients after all...?
5-year outcomes of the HighSTEACS trial published today in @bmj_latest
https://t.co/dYxbmpMgOO
@HighSTEACS@DDoudesis@BHFScotland@dataloch
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Enjoyed sharing and discussing at #AHA23 emerging opportunities addressing machine learning for the prediction of acute MI: there are multiple avenues worth exploring with biomarkers, ECG, and imaging but weโll need well curated data, validation, and RCTs.
It was a great honour to have been selected and present at The Bernard and Joan Marshall Early Career Investigator session at @BSCResearch
I can now proudly say I've checked off one of my big dreams: presenting at the University of Oxford! โ
Don't forget to join our 1st september #ESCwebinar after #ESCCongress
Machine learning for ACS assessment: state of the art
๐Role in ACS diagnosis
๐early/reliable detection #myocardialinfarction
๐ #AI pitfalls & future role #machinelearning
Register: https://t.co/UAKJwjWFLW
PROPOSAL for a new clinical classification of acute myocardial infarction
Published online today @NatureMedicine
Open access link: https://t.co/Z8uaTd2Lty
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