Coordinated European taskforce will be trained to develop the vision of a Personalised In-Silico Cardiology

A new collaborative initiative has been launched – to establish a European Innovative Training Network (ITN) into developing Personalised in-silico Cadiology (PIC). The University of Oxford will host two PhD students of the Network, one of whom will become a member of Blanca Rodriguez’ team of here at the Department of Computer Science.

The PIC is a 4 year project that will train 15 innovation leaders in the vision of a healthcare supported by in-silico and computational technologies. Recent scientific progress has created an exceptional capacity to simulate the heart and its interaction with the circulatory system in-silico (i.e. on a computer). Patient-specific in-silico models enable comprehensive integration and interpretation of clinical data. These models provide the pathway for developing personalised and preventive management strategies for cardiovascular diseases that are tailored to each patient. In addition, recent advances in data science, such as machine learning and data mining enable the extraction of novel insights and knowledge from the large repositories of clinical data from our health information systems.

PIC is the European Innovative Training Network (ITN) that will train a cohort of 15 future innovation leaders able to articulate and materialise this vision where healthcare is guided by in-silico models. These models become virtual reconstructions of an individual, or avatars, to advise doctors about a patients current health status and therapy options. PIC fellows will build and apply models of individual patients to maximise the value of clinical data, helping clinicians deliver a personalised therapy by informing diagnosis, and optimising clinical devices & drug choices.

Further information at: http://picnet.eu and on twitter: @PICnetEU