Sanjiv Narayan

Sanjiv M. Narayan is a British-born American physician, biomedical engineer, and academic researcher. He is a Professor of Medicine at Stanford University.[1] Narayan's work is focused on treating patients with heart rhythm disorders, particularly those with atrial fibrillation. His research applies bioengineering and computational methods to develop improved diagnostic tools and therapy.[2]

Sanjiv M. Narayan
Born (1964-04-29) April 29, 1964
Aylesbury, Buckinghamshire, England
NationalityBritish-born American
OccupationCardiac electro-physiologist, Physician, biomedical engineer, educator and researcher
Academic background
EducationMB, CHB
M.Sc., Computer Science
M.D., Neuroscience
Alma materUniversity of Birmingham
Thesis"Restricted Connectivity in Neural Networks" (1990)
Academic work
InstitutionsStanford University

Narayan is a fellow of the American Heart Association; the American College of Cardiology, the Heart Rhythm Society, and the Royal College of Physicians of London. He is a Section Editor for Journal of the American College of Cardiology.[3]

Education

Narayan completed his medical training in 1987 and his Masters in Computer Science in 1990 from the University of Birmingham, UK with a thesis on "Restricted Connectivity in Neural Networks".[1] He received membership of the Royal College of Physicians (MRCP) that year. During post-doctoral research at the University of California, Los Angeles he developed systems and software to image and map intrinsic optical signals in rodent somatosensory cortex under Arthur W. Toga. Narayan completed residency in internal medicine at Mount Auburn Hospital/Harvard, fellowship in Cardiology and Cardiac Electrophysiology under Michael Cain and Bruce Lindsay at Barnes Hospital/Washington University.[4]

Career

Narayan was faculty at University of California, San Diego from 2001-2014, and at the University of California, Los Angeles from 2012-2014. In 2014, Narayan joined Stanford University.[1]

Research

Narayan’s research is focused at the intersection of clinical cardiac electrophysiology and bioengineering. From the late 1990s to early 2000s he studied tissue mechanisms for complex heart rhythm disorders by studying rate-dynamics of monophasic action potentials and conduction patterns in patients with atrial fibrillation, ventricular fibrillation and controls.[5]

Narayan pioneered efforts for panoramic mapping of atrial fibrillation using global multipolar mapping catheters and artificial intelligence (AI) algorithms to separate physiological signals from noise. This work revealed localized drivers for AF, as targets for therapy.[6]

His later work has been focused on using AI to bridge basic arrhythmia mechanisms to patient care.[7] He directs the Computational Arrhythmia Research Laboratory (CARL).[8]

Awards/Honors
  • 1994 – Fellow, Royal College of Physicians of London
  • 2006 – Fellow, American College of Cardiology
  • 2008 – Fellow, Heart Rhythm Society
  • 2012 – Richard Lewar Lecturer, University of Toronto[9]
  • 2012 – Stephen Scheidt Visiting Professor, Cornell University
  • 2018 – Fellow, American Heart Association

Bibliography

Selected Articles
  • Narayan S.M, Bode F, Karasik PL, Franz MR. Alternans Of Atrial Action Potentials As A Precursor Of Atrial Fibrillation. Circulation 2002 106: 1968-1973.
  • Narayan SM, Krummen DE, Shivkumar K, Clopton PS, Rappel WJ, Miller JM. Treatment of Atrial Fibrillation by the Ablation of Localized Sources: The CONventional Ablation For Atrial Fibrillation With and Without Focal Impulse and Rotor Modulation (CONFIRM) Trial. J Am Coll Cardiol 2012; 60(7):628-36. Editorial PMID: 22818076 PMCID: PMC3416917
  • Rogers AJ, Selvalingam A, Alhusseini MI, Krummen DE, Corrado C, Abuzaid F, Baykaner T, Meyer C, Clopton P, Giles WR, Bailis P, Niederer SA, Wang PJ, Rappel WJ, Zaharia M, Narayan SM. Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death. Circ Res 2021 128(2): 172-184.


References
  1. "Sanjiv Narayan".
  2. "Sanjiv Narayan - Google Scholar".
  3. "Journal of the American College of Cardiology - Editorial Board".
  4. "Stimulus parameters influence characteristics of optical intrinsic signal responses in somatosensory cortex".
  5. "Repolarization Alternans Reveals Vulnerability to Human Atrial Fibrillation".
  6. "Treatment of Atrial Fibrillation by the Ablation of Localized Sources: CONFIRM (Conventional Ablation for Atrial Fibrillation With or Without Focal Impulse and Rotor Modulation) Trial".
  7. "Machine Learned Cellular Phenotypes Predict Outcome in Ischemic Cardiomyopathy".
  8. "Arrhythmia Research Laboratory".
  9. "Heart & Stroke/Richard Lewar Center of Excellence" (PDF).
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