Rui Providência on Muck Rack

Rui Providência

London
As seen in: Nature, Wiley Online Library, EP Europace, British Journal of Sports Medicine, Frontiers, heart, MDPI, Medscape, The American Journal of Human Genetics, The Lancet and
Cardiac Electrophysiologist/Cardiologist and Professor of Cardiovascular Epidemiology and Evidence Synthesis. Musician. AuDHD.
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Articles

Response to CRT in Patients With Atrial Fibrillation Versus Sinus Rhythm: A Single UK Center Study

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By Catrin Sohrabi, Nikolaos Papageorgiou, Kyriacos Mouyis, Antonio Creta, Simon Sporton, Rui Providência, Ross Hunter, Anthony Chow, Amal Muthumala
| Wiley Online Library Verified
Conflicts of Interest The authors declare no potential conflict of interest. References 1, , , and , “Cardiac Resynchronization Therapy: Current Status and Near-Future Prospects,” Journal of Cardiology 79, no. 3 (2022): 352–357. 2, , , et al., “Cardiac-Resynchronization Therapy for Mild-to-Moderate Heart Failure,” New England Journal of Medicine 363, no. 25 (2010): 2385–2395.
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Diagnostic test accuracy of simplified algorithms for diagnosing acute rheumatic fever: a systematic review - Communications Medicine

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By Rui Providência, Fang Zhu
| Nature Verified
Abstract Rheumatic heart disease, the long-term sequel to acute rheumatic fever, remains a prevalent public health problem in Africa and other low to middle-income regions of the world. Diagnosing acute rheumatic fever and using the modified Jones criteria in high-prevalence areas remains challenging.
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Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits

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By Yuchen Zhou, Justin Khasentino, Taedong Yun, Mahantesh Biradar, Jacqueline Baras Shreibati, Dongbing Lai, Tae-Hwi Schwantes-An, Robert N Luben, Zachary R McCaw, Jorgen Engmann, Rui Providência, Amand Floriaan Schmidt, Patricia B Munroe, Howard Yang, Andrew Carroll, Anthony P. Khawaja, Cory Y McLean, Babak Behsaz, Farhad Hormozdiari
| The American Journal of Human Genetics Verified
Keywords GWAS AI multimodal deep learning PRS cardiovascular disease representation learning fusion model variational autoencoder Introduction Health data (e.g., electrocardiograms [ECGs], photoplethysmograms [PPGs], spirograms, magnetic resonance imaging [MRI]) are valuable assets for clinical diagnosis, treatment, and prognosis and provide a unique opportunity for studying the genetic basis of complex traits.1,2,3,4,5,6,7,8,9 Recent technological progress in electronic health record (EHR)...
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