Geometrical differences for classification of fracture and non-fracture cases of osteoporotic patients

Osteoporotic hip fractures in elderly represent a high burden in developed countries. It affects the quality of life and even it can cause death. As such, the improvement of prevention of these fractures is of high interest for clinicians. Several parameters were proposed as classifier for hip fracture e.g. bone mineral density from images, biomechanical parameters from simulations. The aim of this project is to identify geometrical differences that allows to separate fracture patients from the control group. The candidate will extend a previous matlab code developed in the group to study a database with fracture and non-fracture cases. Machine learning techniques will also be applied. Also, the candidate will count with the support of all biomechanics a mechanobiology team.


Supervisors: Carlos Ruiz, Simone Tassani