Musculoskeletal injuries are a common cause of lost training days and wastage in
racehorses. Many bone injuries are a consequence of repeated high loading during fast …

Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary
scientific domains where machines are provided with an approximation of human …

Long bones are composite materials possessing nonhomogeneous and anisotropic
properties. They repair themselves (self-repairing) and adapt to changing mechanical …

Storage and utilization of strain energy in the elastic tissues of the distal forelimb of the horse
is thought to contribute to the excellent locomotory efficiency of the animal. However, the …

Feedforward backpropagation artificial neural networks (ANNs) have been increasingly
employed in many engineering practices concerning materials modeling. Despite their …

The hierarchical nature of bone makes it a difficult material to fully comprehend. The equine
third metacarpal (MC3) bone experiences nonuniform surface strains, which are a measure …

This paper reports on an investigation into the relationship between stiffness and applied
force of an advanced biological composite structure using four techniques: experimental …

Density–modulus relationships are necessary to develop finite element models of bones that
may be used to evaluate local tissue response to different physical activities. It is unknown if …

There are many reports describing fractures in the bony elements of the equine fetlock joint
and a few of these discuss possible relationships of these fractures to the mechanical …

Strain parameters at injury prone sites of the equine third metacarpal (MC3) and proximal
phalangeal (P1) bones were investigated with the aim of improving understanding of injury …