Biomaterials are employed in the fields of tissue engineering and regenerative medicine
(TERM) in order to enhance the regeneration or replacement of tissue function and/or …

Optimisation of tissue engineering (TE) processes requires models that can identify
relationships between the parameters to be optimised and predict structural and …

Objective To evaluate whether T2 relaxation time measurements obtained at 3 T MRI predict
the onset of radiographic knee osteoarthritis (OA). Materials and methods We performed a …

Background Machine learning models trained with multiparametric quantitative MRIs
(qMRIs) have the potential to provide valuable information about the structural composition …

A key technical challenge in cartilage tissue engineering is the development of a
noninvasive method for monitoring the composition, structure, and function of the tissue at …

Objective The purpose of this study is to evaluate the ability of machine learning to
discriminate between magnetic resonance images (MRI) of normal and pathological human …

Background: Advances in cartilage tissue engineering have demonstrated noteworthy
potential for developing cartilage for implantation onto sites impacted by joint degeneration …

Tissue engineering (TE) approaches strive to regenerate or replace an organ or tissue. The
successful development and subsequent integration of a TE construct is contingent on a …

Purpose Previous work has evaluated the quality of different analytic methods for extracting
relaxation times from magnitude imaging data exhibiting Rician noise. However …

Purpose To compare the ordinary monoexponential model with three anomalous relaxation
models—the stretched Mittag‐Leffler, stretched exponential, and biexponential functions …