Molly E. Kupfer

ORCID: 0009-0003-7163-7789
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About
Contact & Profiles
Research Areas
  • Tissue Engineering and Regenerative Medicine
  • 3D Printing in Biomedical Research
  • Cardiac Arrhythmias and Treatments
  • Cell Image Analysis Techniques
  • Neuroscience and Neural Engineering
  • Additive Manufacturing and 3D Printing Technologies
  • ECG Monitoring and Analysis
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Anatomy and Medical Technology
  • Cardiac and Coronary Surgery Techniques
  • Advanced Fluorescence Microscopy Techniques
  • Pluripotent Stem Cells Research
  • Cardiovascular Syncope and Autonomic Disorders

Boston Scientific (United States)
2025

University of Minnesota
2015-2020

Twin Cities Orthopedics
2015-2020

University of Alabama at Birmingham
2017

University of Wisconsin–Madison
2017

Conventional 3-dimensional (3D) printing techniques cannot produce structures of the size at which individual cells interact.Here, we used multiphoton-excited 3D to generate a native-like extracellular matrix scaffold with submicron resolution and then seeded cardiomyocytes, smooth muscle cells, endothelial that had been differentiated from human-induced pluripotent stem cell-derived cardiac patch (hCMP), was subsequently evaluated in murine model myocardial infarction.The ≈50 000 (in 2:1:1...

10.1161/circresaha.116.310277 article EN Circulation Research 2017-01-10

Rationale: One goal of cardiac tissue engineering is the generation a living, human pump in vitro that could replace animal models and eventually serve as an vivo therapeutic. Models replicate geometrically complex structure heart, harboring chambers large vessels with soft biomaterials, can be achieved using 3-dimensional bioprinting. Yet, inclusion contiguous, living muscle to support function has not been achieved. This largely due challenge attaining high densities cardiomyocytes—a...

10.1161/circresaha.119.316155 article EN Circulation Research 2020-03-31

BackgroundPremature ventricular contraction (PVC) burden is a clinically important metric in the context of PVC-induced cardiomyopathy and commonly obtained via ambulatory ECG monitoring.ObjectiveThe purpose this analysis to characterize performance novel PVC detection algorithm capable identifying single PVCs sequences (couplets triplets) for estimation 24-hour an insertable cardiac monitor (ICM).MethodsPerformance ICM detecting was validated by replaying 748 patient-triggered ICM-recorded...

10.1016/j.hroo.2025.01.004 article EN cc-by Heart Rhythm O2 2025-01-01
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