School of Medicine
Showing 1-10 of 17 Results
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Heidi Salisbury
Casual Employee, Medicine - Med/Cardiovascular Medicine
BioHeide Salisbury, CNS is a clinical nurse specialist who works at the Stanford Heart Failure and Cardiomyopathy Clinic.
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Karim Sallam, MD
Assistant Professor of Medicine (Cardiovascular Medicine)
BioKarim Sallam, MD, is trained in Cardiovascular Medicine and Advanced Heart Failure.
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Fabian Sanchis Gomar
Physician-Scientist, Medicine - Med/Cardiovascular Medicine
BioDr. Fabián Sanchis Gomar (M.D., Ph.D.) has published more than 345 manuscripts in international peer-reviewed journals related to several topics, wide-ranging in cardiology, arrhythmias, aging, exercise, and oxidative stress. His most relevant works have been based on the molecular and physiopathological mechanisms implicated in various diseases and identifying potential novel mechanisms and biomarkers associated with those diseases' pathogenesis.
As a dedicated researcher in the field of arrhythmias and sports cardiology, his journey has been driven by a deep-seated passion for unraveling the complexities of the heart, particularly in the context of athletic performance. His fascination with the heart's rhythm and how it adapts to the extreme demands of sports began early in his career as a medical student, where he was captivated by the intricate balance between physical excellence and cardiac health.
Throughout his years in academia and research, Dr. Sanchis-Gomar has been privileged to work at the forefront of sports cardiology, a field that sits at the fascinating intersection of cardiology and sports medicine. His postdoc research focused on the pathophysiology of arrhythmias in elite athletes, shedding light on how intense physical training can alter cardiac function and rhythm. This work laid the foundation for his subsequent research endeavors, which have been dedicated to understanding and preventing sports-related cardiac events.
One of the core objectives of his research has been to develop effective strategies for the early detection and management of arrhythmias in athletes. This pursuit has been academically fulfilling and deeply personal, as it stems from witnessing athletes face unexpected cardiac challenges. Another aspect of his career that he holds in high regard is his role in educating and mentoring the next generation of researchers. He firmly believes that the future of the field hinges on the enthusiastic and informed involvement of young professionals, and he takes great pride in sharing his knowledge and experiences with them.
Community engagement has also been a key component of his career. He has actively participated in numerous outreach programs to raise awareness about athlete heart health. These programs disseminate information and build a community of athletes, coaches, trainers, and healthcare professionals who are informed, vigilant, and proactive about cardiac health in sports.
As he looks to the future, he is excited by the endless possibilities in sports cardiology. The rapid advancements in technology and medicine promise new avenues for research and clinical application. He aims to continue contributing to this dynamic field by advancing scientific understanding and ensuring that this knowledge translates into better care and safer sports participation for athletes at all levels. -
Ryan Sandoval, M.D.
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Sandoval is a board-certified cardiologist and a clinical assistant professor in the Division of Cardiovascular Medicine at Stanford University School of Medicine. He completed his residency at the University of Texas at Austin, where he continued on as chief resident before going on to complete his fellowship in cardiovascular disease at the Medical University of South Carolina. Prior to his residency, he completed a research fellowship at Massachusetts General Hospital (MGH).
His clinical interests include preventive cardiology and management of heart failure. He is particularly focused on treating patients with the complex clinical syndrome of heart failure with preserved ejection fraction (HFpEF).
His interest in preventive cardiology grew through his participation in clinics for the uninsured and underinsured during his training. These experiences fostered his passion for understanding and addressing health care disparities. He is deeply committed to providing exceptional patient care with a personalized approach to treatment and improving the lives of his patients.
He is a member of the American College of Cardiology. -
Ingela Schnittger, MD
Professor of Medicine (Cardiovascular)
Current Research and Scholarly InterestsMy main research continues to be in the field of echocardiography. Several areas of research are currently being pursued.
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John S. Schroeder, MD
Professor (Clinical) of Medicine (Cardiovascular), Emeritus
Current Research and Scholarly Interests1. Clinical Pharmocology of Cardiovascular Drugs
(a) Calcium Channel Blockers
(b) Agents for Heart Failure
(c) Anti-atherosclerotic Effects of Cardiovascular Drugs, e.g. Calcium Channel Blockers
2. Cardiac Transplantation/Congestive Heart Failure
3. Coronary Artery Spasm -
Disha Sharma
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a computational biologist with more than 12 years of extensive experience aiming to pursue career in developing translational medicine- and healthcare-oriented solutions. I have Ph.D. in bioinformatics with technical expertise for next-generation sequencing assays, genome-wide association studies, bulk and single-cell multi-omics analysis, R, python, shell Scripting, cloud computing, Data structure and algorithms, as well as machine and deep learning algorithms. I have solid background in genomics, transcriptomics, epigenomics and metagenomics. I have worked with both complex and rare genetic disorders performing data analysis, data interpretation, data curation with clinical data and databases.
I am presently a postdoctoral fellow at Stanford University for 4 years now where my main focus is to understand the genetic risks of cardiometabolic diseases using GWAS, integrating modalities including single-cell multiomics, CRISPR perturbation datasets. I am working on building machine learning models and use statistical genetics tools using large biobanks including UKBiobank, AllofUS and MVP.
