A5020071597- Atherosclerosis and Cardiovascular Diseases
- Cardiac Imaging and Diagnostics
- Phagocytosis and Immune Regulation
- Cardiac, Anesthesia and Surgical Outcomes
- Respiratory and Cough-Related Research
- Cerebrovascular and Carotid Artery Diseases
- Diversity and Career in Medicine
- Cardiovascular Disease and Adiposity
- Cell death mechanisms and regulation
- Infant Health and Development
- Virtual Reality Applications and Impacts
- COVID-19 and healthcare impacts
- Acute Ischemic Stroke Management
- Artificial Intelligence in Healthcare
- Engineering Education and Curriculum Development
- Complement system in diseases
- Augmented Reality Applications
- Protease and Inhibitor Mechanisms
- Galectins and Cancer Biology
- Educational Games and Gamification
- Studies on Chitinases and Chitosanases
- Pediatric health and respiratory diseases
Stanford University
2020-2022
Cardiovascular Institute of the South
2021
Technical University of Munich
2020
Atherosclerosis is the process underlying heart attack and stroke. Despite decades of research, its pathogenesis remains unclear. Dogma suggests that atherosclerotic plaques expand primarily via accumulation cholesterol inflammatory cells. However, recent evidence a substantial portion plaque may arise from subset "dedifferentiated" vascular smooth muscle cells (SMCs) which proliferate in clonal fashion. Herein we use multicolor lineage-tracing models to confirm mature SMC can give rise...
Abstract Aims Atherosclerotic cerebrovascular disease underlies the majority of ischaemic strokes and is a major cause death disability. While plaque burden predictor adverse outcomes, vulnerability increasingly recognized as driver lesion rupture risk for clinical events. Defining molecular regulators carotid instability could inform development new biomarkers and/or translational targets at-risk individuals. Methods results Using two independent human endarterectomy biobanks, we found that...
Background The promise of precision population health includes the ability to use robust patient data tailor prevention and care specific groups. Advanced analytics may allow for automated detection clinically informative subgroups that account clinical, genetic, environmental variability. This study sought evaluate whether unsupervised machine learning approaches could interpret heterogeneous missing clinical discover important coronary artery disease subgroups. Methods Results Genetic...
This study sought to determine whether 18F-fluorodeoxyglucose-positron emission tomography/computed tomography could be applied a murine model of advanced atherosclerotic plaque vulnerability detect response therapeutic intervention and changes in lesion stability. Approach Results: To analyze plaques susceptible rupture, we fed ApoE-/- mice high-fat diet induced vulnerable lesions by cast placement over the carotid artery. After 9 weeks treatment with orthogonal agents (including...
This national cohort study examines changes in the number of vascular surgical procedures completed US before and during COVID-19 pandemic.
This paper deals with initial results by using Augmented Reality and Transversal System of Teaching-Learning (TSTL) to teach anatomy in an undergraduate course Physical Education. The ongoing project aims use existing low-cost resources lessons promote accessibility school inclusion. needed for this research are smartphones the perspective BYOD (Bring Your Own Device) VR cardboards as optional feature increase immersion. is qualitative, its methodology grounded action-research. Analysis data...