Sentence examples for personalised model from inspiring English sources

That, in turn, will reduce the time needed to develop new personalised diagnostic tests and treatments.According to Mike Svinte, head of IBM's information-based medicine initiative, "biobanking is becoming an essential part of the transformation to a personalised model of medicine".

An inverse dynamic model with three segments has been developed by Saraswat et al. [ 14], however the anatomical information was derived from literature, making it impossible to produce a personalised model.

However, the principal limitation of this personalised model is that only 12% of new cases of prostate cancer in Poland occur in men with one of these mutations and therefore the potential to reduce the overall cancer burden is limited.

Then he opens the door to the next room, which turns out to be plastered with posters of himself, customised T-shirts, blown-up autographs, a lifesize model, personalised bunting.

In vivo measurements of muscle architecture provide insight into inter-individual differences in muscle function and could be used to personalise musculoskeletal models.

These promising results demonstrate the potential of physiological models personalised from images and electrophysiology signals to improve patient selection and plan CRT.

To get towards personalised follow-up, models predicting LRRs are required.

Then, the concept of Virtual Private Service Network (VPSN) and Virtual Service Community (VSC) is proposed to model the personalised Service Level Agreement (SLA) where user requirements and provider offers converge on a QoS contract.

For the management of the service composition we propose the concept of Virtual Private Service Network (VPSN) and Virtual Service Community (VSC) that allows us to model the personalised Service Level Agreement (SLA) where user requirements and provider offers converge on a QoS contract.

High profile health leaders will speak across two stages, while feature zones will explore digital health, personalised medicine and new models of care.

Afterwards the datasets of the other healthy subjects will be used to refine the initial model, develop kinematic and kinetic rules and a morphing-based scaling facility so the models can be personalised.