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functional analyses. • Generation, culture, and treatment of three-dimensional cardiac microtissue models for the preclinical validation of candidate therapeutics. • Acquisition, processing, and analysis
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cardiac arrhythmia and remains challenging to treat effectively, with many patients experiencing recurrence after catheter ablation. One reason for this is the difficulty of identifying the specific
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access to imaging and functional data from about 100,000 participants. Using these data, the candidate will develop population-based reference values for cardiac anatomy and function, including parameters
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cardiorespiratory imaging sub-specialty. This may be cardiac, cardiovascular, cardio-oncology, cardiorespiratory, or pulmonary vascular focused, with all interests welcome, although any appointees will be expected
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to process and analyze datasets. The project will combine mechanobiology, spatial omics, quantitative imaging, and computational biology, providing a highly interdisciplinary research environment. MBI and NUS
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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Goonewardena - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics
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in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics, and genomics), and
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), cardiac Imaging and cardio-oncology, in addition to several research fellowships. Our cardiologists are actively engaged in cutting edge collaborative research, spanning basic science, translational