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State of the Art in Bioengineering concentrates on all the research linked to living materials science and materials for living beings. It aims at establishing a bridge between materials science and biology.
The journal focuses on the following areas: the design, the modeling and the multi-physical and multi-scale characterization of living materials, biomimetic materials or even bio-inspired, bio-artificial materials, the materials and biomaterials obtained with 3D printing, the interfaces and interphases in between these artificial materials and living tissues, their regeneration, their remodeling and their evolution over time.
The subjects involved are: biomechanics, biomaterials, nanobiotechnologies (MEMS, NEMS, etc.), nanobiomechanics, bioengineering, and mechanical-biology.
État de l’art en Bioingénierie est dédiée à toutes les recherches en relation avec les sciences des matériaux du vivant et pour le vivant. Elle vise à établir un pont entre les sciences des matériaux et la biologie.
La revue s’intéresse aux domaines suivants : la conception, la modélisation et la caractérisation multi-physique et multi-échelle des matériaux du vivant, les matériaux biomimétiques ou encore bio-inspirés, les matériaux bio-artificiels, les matériaux et biomatériaux obtenus par impression 3D, les interfaces ou interphases entre ces matériaux artificiels et les tissus vivants, leur régénération, remodelage et évolution dans le temps.
Les disciplines concernées sont : la biomécanique, les biomatériaux, les nano-biotechnologies (MEMS, NEMS, etc.), la nano-biomécanique, la bio-ingénierie, la mécano-biologie.
The desire to regain a comparable level of mobility or sporting performance, without apprehension and without the risk of re-injury, after Anterior Cruciate Ligament (ACL) reconstruction is legitimate, yet it remains rarely achieved. To date, no Return To Sport (RTS) protocol has been fully validated. The criteria currently employed lack standardization and, at times, objectivity, which limits their clinical applicability. Although the literature emphasizes the importance of evaluating performance, muscle strength, and psychological readiness, the predictive validity of these parameters remains uncertain. Moreover, the time to RTS, which varies widely (from six months to over a year), is not a reliable criterion in itself but could instead be considered a target variable within a predictive model. This perspective aligns with the RTS continuum, which differentiates between return to activity, RTS and return to performance. The present article reviews existing criteria and examines the potential contribution of machine learning models to improving RTS prediction.
This paper aims to give a review of our knowledge on the human cornea, its structure, and its behavior, for mechanical modeling. It presents first the general organization of the cornea, as well as its macro and microstructures. In a second time, we detail the Optical Coherence Tomography (OCT) techniques, which are used in clinics and in research to observe the cornea. Then, we present the experimental characterization of the cornea mechanical properties. Finally, we review the modeling approaches that have been used to describe the elastic response of the tissue.
Editorial Board
Editors in Chief
Marie-Christine HO BA THO
Biomécanique Bioingénierie - CNRS
Université de Technologie de Compiègne
[email protected]
Yves REMOND
Université de Strasbourg, ECPM, CNRS
[email protected]
Co-Editors
Sabine BENSAMOUN
UTC Compiègne
[email protected]
Jérôme CHEVALIER
MATEIS – INSA de Lyon
[email protected]
Daniel GEORGE
Université de Strasbourg
[email protected]
Christian HELLMICH
Institute for Mechanics of Materials
and Structures
Vienna University of Technology
Autriche
[email protected]
Philippe LAVALLE
Inserm
[email protected]
Véronique MIGONNEY
CSPBAT – Université Paris 13
[email protected]