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We show that mechanical signals have major effects on cancer drug sensitivity, using a bioengineered model of human bone sarcoma.
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An effective method for reconstructing a 3D model of human bones from computed tomography (CT) image data based on dictionary learning is proposed.
Finite element modeling of human bone provides a powerful tool to evaluate a wide variety of outcomes in a highly repeatable and parametric manner.
More recently, animal models of human bone metastasis have been developed using subcutaneous implantation of human bone but these models suffer from problems such as donor-related variability and poor viability of the implant.
An effective method for the 3D Bio-CAD model reconstruction of human bone from a scanned point cloud data or a sequence of CT image data is presented based on a B-spline interpolation scheme.
In this paper a new method of anatomical features (MAF) for the creation of 3D geometrical models of human bones (polygonal, surface and solid) and parametric point models (predictive bone models) is presented.
A three-dimensional finite-element (FE) model of a human dry skull was devised for simulation of human bone-conduction (BC) hearing.
We set up an experimental model consisting of a mixture of human bone marrow and human neuroblastoma cells in order to confirm these preliminary results in purging conditions.
Recently, new animal models provided important advances for investigations of human bone metastasis [ 14- 16].
Collectively, these analyses support the use of an ovariectomy surgery rat model to gain insights into the response of human bone to osteotomy site preparation.
In this paper, model bones with mechanical characteristics similar to those of human bone and pig bone, were endmilled.
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CEO of Professional Science Editing for Scientists @ prosciediting.com