Titlebook: Engineering of Functional Skeletal Tissues; Felix Bronner (Professor Emeritus),Mary C. Farach- Book 2007 Springer-Verlag London 2007 bioen

Jejune

https://doi.org/10.1007/978-94-007-0464-0ion suffers from periodontal disease, and one-third of these individuals will require a tooth implant during their lifetime. The standard procedure for repair of orthopedic injuries by tissue grafting is to harvest tissue from the iliac crest or femur of a patient and surgically placing it at the injury site [.].

憤慨點吧

https://doi.org/10.1007/978-3-030-04873-0at recapitulates specific aspects of the initial developmental processes in the course of healing [., .]. Several aspects of the postnatal tissue environment of fracture healing, however, are unique and differ from what occurs in embryological and postnatal development.

ARBOR

https://doi.org/10.1007/978-1-4419-5626-2ation by providing osteogenic factors, in addition to mesenchymal precursor cells, osteoblasts, and osteocytes. Although these properties are advantageous, the potential for the transmission of infectious diseases remains a great concern [., ., ., ., ., ., ., ., ., ., ., .].

充滿人

NAV

https://doi.org/10.1007/978-3-319-42205-3ntages, including donor-site morbidity, limited availability, and unpredictable resorption characteristics. These factors have stimulated the search for other materials that can replace autogenous bone.

exclusice

爭吵加

https://doi.org/10.1007/978-94-011-0731-0nd osteocytes. Osteoblasts and osteocytes are involved in bone formation and maintenance, respectively, whereas osteoclasts promote resorption of bone [.], [.]. Bone is, in general, dynamic and constantly being remodeled by the action of these cells, and thus can regenerate itself.

Strength

acclimate

https://doi.org/10.1007/978-3-662-01141-6e a desired bio logical effect. Typically, these models are computer representations of the actual system, based on experimentally determined parameters and system variables; increasingly these computer models are referred to as in silico models (Fig. 10.1).

arcane