Michael S. Sacks

ORCID: 0000-0003-0198-9212
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About
Contact & Profiles
Research Areas
  • Cardiac Valve Diseases and Treatments
  • Elasticity and Material Modeling
  • Coronary Interventions and Diagnostics
  • Cardiac Structural Anomalies and Repair
  • Infective Endocarditis Diagnosis and Management
  • Cardiovascular Function and Risk Factors
  • Electrospun Nanofibers in Biomedical Applications
  • Tribology and Lubrication Engineering
  • Tissue Engineering and Regenerative Medicine
  • Advanced Numerical Analysis Techniques
  • Rheology and Fluid Dynamics Studies
  • Orthopaedic implants and arthroplasty
  • Biomedical and Engineering Education
  • Bone fractures and treatments
  • Aortic Disease and Treatment Approaches
  • Mechanical Engineering and Vibrations Research
  • Model Reduction and Neural Networks
  • Automotive and Human Injury Biomechanics
  • Advanced MRI Techniques and Applications
  • Additive Manufacturing and 3D Printing Technologies
  • Optical Imaging and Spectroscopy Techniques
  • Medical Imaging and Analysis
  • Lattice Boltzmann Simulation Studies
  • 3D Shape Modeling and Analysis
  • Connective tissue disorders research

The University of Texas at Austin
2015-2025

University of Pittsburgh
1999-2011

Intel (United Kingdom)
2010

Armed Forces Institute of Pathology
2002

University of Miami
1997

The University of Texas Southwestern Medical Center
1993

The University of Texas at Arlington
1993

Abstract Numerous studies have suggested that medical image derived computational mechanics models could be developed to reduce mortality and morbidity due cardiovascular diseases by allowing for patient‐specific surgical planning customized device design. In this work, we present a novel framework designing prosthetic heart valves using parametric design platform immersogeometric fluid–structure interaction (FSI) analysis. We parameterize the leaflet geometry several key parameters. This...

10.1002/cnm.2938 article EN International Journal for Numerical Methods in Biomedical Engineering 2017-11-09

Valvular heart disease has recently become an increasing public health concern due to the high prevalence of valve degeneration in aging populations. For patients with severely impacted aortic valves that require replacement, catheter-based bioprosthetic deployment offers a minimally invasive treatment option eliminates many risks associated surgical replacement. Although recent percutaneous device advancements have incorporated thinner, more flexible biological tissues streamline safer...

10.1073/pnas.2002821117 article EN Proceedings of the National Academy of Sciences 2020-07-24

For more than 40years, the replacement of diseased natural heart valves with prosthetic devices has dramatically extended quality and length lives millions patients worldwide. However, bioprosthetic (BHV) continue to fail due structural failure resulting from poor tissue durability faulty design. Clearly, an in-depth understanding biomechanical behavior BHV at both functional prosthesis levels is essential improving design reduce rates failure. In this study, we simulated quasi-static...

10.1115/1.2049337 article EN Journal of Biomechanical Engineering 2005-07-14

The porcine small intestine submucosa, an extracellular matrix-derived bioscaffold (ECM-SIS), has been successfully used to enhance the healing of ligaments and tendons. Since collagen fibers ECM-SIS have orientation +/- 30 degrees , its application in improving parallel-fibered ligament tendon may not be optimal. Therefore, objective was improve fiber alignment vitro with fibroblast seeding cyclic stretch. hypothesis that synergistic effects cell mechanical stimuli, can remodeled aligned,...

10.1089/ten.tea.2007.0384 article EN Tissue Engineering Part A 2008-09-10

Abstract Multiple studies have demonstrated that the pathological geometries unique to each patient can affect durability of mitral valve (MV) repairs. While computational modeling MV is a promising approach improve surgical outcomes, complex geometry precludes use simplified models. Moreover, lack complete in vivo geometric information presents significant challenges development patient‐specific There thus need determine level detail necessary for predictive To address this issue, we...

10.1002/cnm.2921 article EN International Journal for Numerical Methods in Biomedical Engineering 2017-08-04

Abstract Assessment of mitral valve (MV) function is important in many diagnostic, prognostic, and surgical planning applications for treatment MV disease. Yet, to date, there are no accepted noninvasive methods determination leaflet deformation, which a critical metric function. In this study, we present novel, completely computational method estimate in‐plane strains from clinical‐quality real‐time three‐dimensional echocardiography (rt‐3DE) images. The images were first segmented produce...

10.1002/cnm.3142 article EN International Journal for Numerical Methods in Biomedical Engineering 2018-08-22

ABSTRACT The use of patient‐specific computational modeling cardiovascular diseases has become increasingly popular to improve patient standard care. Most simulation approaches currently utilize the finite element method (FEM), which is very well established and succeeds in producing high‐fidelity results. However, it remains too slow for clinical settings, especially when many‐query solutions are required determine optimal therapeutic approaches. As a step toward addressing these demands,...

10.1002/cnm.70038 article EN International Journal for Numerical Methods in Biomedical Engineering 2025-04-01

The mechanical properties of the extracellular matrix (ECM), particularly stiffness, regulate endothelial progenitor responses during vascular development, yet their behavior in physiologically compliant matrices (<1 kPa) remains underexplored. Using norbornene-modified hyaluronic acid (NorHA) hydrogels with tunable stiffness (190-884 Pa), we investigated how hydrogel influences cell morphology, maturation, mechanotransduction, and microvascular network formation human induced pluripotent...

10.1101/2025.04.11.648340 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2025-04-12
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