dr. C.C. (René) van Donkelaar - Expertise

Donkelaar, dr. C.C. van
Address :
Technische Universiteit Eindhoven
P.O. Box 513
5600 MB EINDHOVEN
Department :
Department of Biomedical Engineering
Section :
Orthopaedic Biomechanics
Positioncategory :
Associate Professor (UHD)
Position :
Associate Professor
Room :
GEM-Z 4.101
Tel :
+31 40-247 3135
Tel (internal) :
3135
Email :
c.c.v.donkelaar@tue.nl

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Expertise

  • D21100 - Bioinformatics, biomathematics
  • D21500 - Histology, cell biology

Biography

René van Donkelaar obtained his MsC at the Radboud University, Nijmegen, and his PhD degree in 1999 at the Maastricht University. As of 1998 he was already appointed at the Biomedical Engineering Department of the Eindhoven University of Technology, where he was one of the first faculty members. He worked at this department in the groups of prof Frank Baaijens, prof Rik Huiskes, and eventually prof Keita Ito, where he is currently appointed associate professor in cartilage mechanics.The central theme in his research is cartilage, which he approaches from a mechanical point of view. Using fundamental insights on the mechanical behavior of cartilage, he established a well-recognized computational model of cartilage mechanics. The main asset of this model is that it directly links biochemical contents (distributions of proteoglycans and collagen) and structural features (collagen fiber orientation), to mechanical properties. The focus of his work has now shifted from fundamental to applied cartilage research in two main research areas. First, he aims to develop improved loading protocols for cartilage tissue engineering. Second, he aims to understand how adverse mechanical loading leads to progression of osteoarthritis, ultimately leading to the development of diagnostic tools. All topics are studied by means of experimental work using cell cultures and explant systems, in conjunction with numerical modeling using the aforementioned cartilage mechanics model. The latter is being adapted such that cartilage growth and developmental as well as cartilage degeneration can be computed and predicted.