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Biosensors 2018, 8(3), 76;

Synergistic Integration of Laboratory and Numerical Approaches in Studies of the Biomechanics of Diseased Red Blood Cells

Division of Applied Mathematics, Brown University, Providence, RI 02912, USA
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
School of Engineering, Brown University, Providence, RI 02912, USA
These authors contributed equally to this work.
Authors to whom correspondence should be addressed.
Received: 28 June 2018 / Revised: 31 July 2018 / Accepted: 6 August 2018 / Published: 10 August 2018
(This article belongs to the Special Issue Cell-based Biosensors)
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In red blood cell (RBC) disorders, such as sickle cell disease, hereditary spherocytosis, and diabetes, alterations to the size and shape of RBCs due to either mutations of RBC proteins or changes to the extracellular environment, lead to compromised cell deformability, impaired cell stability, and increased propensity to aggregate. Numerous laboratory approaches have been implemented to elucidate the pathogenesis of RBC disorders. Concurrently, computational RBC models have been developed to simulate the dynamics of RBCs under physiological and pathological conditions. In this work, we review recent laboratory and computational studies of disordered RBCs. Distinguished from previous reviews, we emphasize how experimental techniques and computational modeling can be synergically integrated to improve the understanding of the pathophysiology of hematological disorders. View Full-Text
Keywords: red blood cell disorders; numerical modeling; laboratory approaches red blood cell disorders; numerical modeling; laboratory approaches

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Li, H.; Papageorgiou, D.P.; Chang, H.-Y.; Lu, L.; Yang, J.; Deng, Y. Synergistic Integration of Laboratory and Numerical Approaches in Studies of the Biomechanics of Diseased Red Blood Cells. Biosensors 2018, 8, 76.

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