Our paper: Prevalence, Cardiac Phenotype, and Outcomes of TTR Variants in the UK Biobank Population is now out @JAMACardio https://t.co/NIcRUOh91m - a pleasure to lead this work with @NayAungMD, in another great @NHSBartsHealth @UCL_ICS @QMULWHRI collaboration. interesting data!

Latest paper from our group highlights myocardial strain derived from CMR as a powerful imaging marker for future risk of adverse outcomes in a general population. https://t.co/uWuC8rfHSI Fantastic output from @DrSuchi_C ’s doctoral project. Well done!

Proud of this work published in JACC: CMR myocardial strain at population level – a sensitive biomarker with incremental prognostic value over current gold standard imaging biomarkers. #WHYCMR @UK_Biobank @s_e_petersen @NayAungMD @DrSuchi_C @QMULWHRI @eucanshare #Cardiotwitter

🚀 Join our team! We're hiring a postdoctoral researcher for a 3.5-year position funded by Horizon Europe. Work on the NextGen project ( https://t.co/GHzel0FEJF) developing Multimodal AI tools for heart failure Apply now: https://t.co/1DynK8Vhy8 #AI #HeartFailure #CVImaging

We are seeking a talented Post-Doctoral Fellow to join my team! Dive into AI-powered ECG analytics for heart failure, and contribute to advancing real-world applications. 🚀Apply by 4th January 2024 (link below). https://t.co/xcKcXeX5DS #PostDocJobs #HealthTech

Delighted to share our paper offering an in-depth review of contemporary AI-driven image segmentation algorithms in cardiology. Kudos to Jasmine El-Taraboulsi, @ClauPCabrera, and @CarolineRoney for their invaluable contributions! 📑🩺 @QMULWHRI

🌟 Don't miss out on this exciting opportunity for a 5-year post-doctoral fellowship in my group! Perfect for those with expertise in AI, bioinformatics, or robust data science skills. Apply by September 29th. @QMULWHRI #PostDocFellowship #AI #Genomics https://t.co/B39n1FtiGc

Delighted to see our paper on the relationship between telomere length and cardiac structure and function and risk of HF unravelled by observational and #MendelianRandomization analyses, published in @JAMACardio. @QMULWHRI, @TheBHF

Determinants of elevated LV filling pressure by CMR and its association with incident HF @HEARTinMagnet @Ciaran Grafton-Clarke, @Ross Thomson. #EACVI2023

RV imaging parameters derived from pressure-strain loop (RV global myocardial work index) associated with mean pulmonary artery pressure and PVR. #EACVI2023

Ischaemia assessment for patients with new onset HF #EACVI2023

Excellent presentation from Pankaj @HEARTinMagnet about 4D flow CMR in mitral regurgitation assessment #EACVI2023

When to use 4D flow CMR for evaluation of aortic stenosis #EACVI2023

Flow components from failing hearts measured with 4D flow CMR. Direct flow significantly lower compared to normal hearts. #EACVI2023

@The_MRC @QMULWHRI @BartsHospital This work aims to develop sensitive imaging phenotypes in early #HeartFailure, discover genetically-informed novel therapies and enable precision diagnostics. Deeply grateful for the enduring support from my mentors @s_e_petersen @munroe_patsy @p_deloukas @dvh13 @SirMCaulfield

Ecstatic to have been awarded @The_MRC Clinician Scientist Fellowship to unravel the genetics of #HeartFailure imaging biomarkers by AI and multi-omics approaches in 1 million individuals with diverse backgrounds #AI #whyCMR #genomics #bioinformatics @QMULWHRI @BartsHospital

Video abstract for @NayAungMD publication: Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With HCM https://t.co/PfMiO3A3k0 @AHAScience #AHAjournals #CardioTwitter 📽️ @AnwarChahal @jenniejlin

Delighted to see this paper out. A fantastic collaborative effort using UKB and HCMR datasets to unravel the genetic basis of LV maximum wall thickness and examine its association with HCM diagnosis stratified by sarcomere status @QMULWHRI @TheBHF @uk_biobank #OCMR #HCMR

'Artificial intelligence in cardiology: Hope for the future and power for the present' New paper in @FrontCVMedicine from our amazing researchers @LoukiaKaratzia @NayAungMD @dunjaaks @QMULWHRI @QMUL #AI #Cardiology