Prediction of specific hand movements using electroencephalographic signals.

Objective: To identify specific hand movements from electroencephalographic activity.

Design: Proof of concept study.

Setting: Rehabilitation hospital in Toronto, Canada.

How computational models contribute to our understanding of the germ line.

Computational models are an invaluable tool in modern biology. They provide a framework within which to summarize existing knowledge, enable competing hypotheses to be compared qualitatively and quantitatively, and to facilitate the interpretation of complex data. Moreover, models allow questions to be investigated that are difficult to approach experimentally.

Mechano-logical model of C. elegans germ line suggests feedback on the cell cycle.

The Caenorhabditis elegans germ line is an outstanding model system in which to study the control of cell division and differentiation. Although many of the molecules that regulate germ cell proliferation and fate decisions have been identified, how these signals interact with cellular dynamics and physical forces within the gonad remains poorly understood. We therefore developed a dynamic, 3D in silico model of the C.

Modelling osteomyelitis.

Background: This work focuses on the computational modelling of osteomyelitis, a bone pathology caused by bacteria infection (mostly Staphylococcus aureus). The infection alters the RANK/RANKL/OPG signalling dynamics that regulates osteoblasts and osteoclasts behaviour in bone remodelling, i.e.