Development

'Big Data' Technique Improves Monitoring of Kidney Transplant Patients

A new data analysis technique radically improves monitoring of kidney patients, according to a University of Leeds-led study, and could lead to profound changes in the way we understand our health. The research, published in the journal PLoS Computational Biology, provides a way of making sense out of the huge number of clues about a kidney transplant patient's prognosis contained in their blood.

Estonian Government Launches eHealth Task Force

Estonian Government has decided to set up the eHealth Task Force to operate within the Government Office, with the goal being to develop a strategic development plan for Estonian eHealth until 2020, along with a detailed implementation plan.

Have Your Say on the Future of Science: Public Consultation on Science 2.0

The European Commission has launched a public consultation on 'Science 2.0', in order to gauge the trend towards a more open, data-driven and people-focused way of doing research and innovation. Researchers are using digital tools to get thousands of people participating in research, for example by asking them to report if they catch flu in order to monitor outbreaks and predict possible epidemics.

Fraunhofer MEVIS Delivers Digital Infrastructure for Germany's Largest Health Study

June marks the beginning of the National Cohort (NAKO), a long-term study of 200,000 subjects, the broadest of its kind in Germany to date. Gathering MRI data of up to 30,000 subjects is central to the study. These images help scientists gain valuable insight into the formation and development of diseases.

The Rehabilitation Gaming System (RGS)

The Rehabilitation Gaming System (RGS) is a novel and highly innovative ICT Virtual Reality (VR) tool for the rehabilitation of motor deficits of the upper extremities after a brain lesion due to stroke. The system deploys an individualized game training that combines movement execution with the observation of a correlated action by virtual limbs that are displayed in a first-person perspective.

Computer-Aided Diagnosis of Rare Genetic Disorders from Family Snaps

Computer analysis of photographs could help doctors diagnose which condition a child with a rare genetic disorder has, say Oxford University researchers. The researchers, funded in part by the Medical Research Council (MRC), have come up with a computer programme that recognises facial features in photographs; looks for similarities with facial structures for various conditions, such as Down's syndrome, Angelman syndrome, or Progeria; and returns possible matches ranked by likelihood.

New Guidelines to Help EU Businesses Use the Cloud

Guidelines to help business users save money and get the most out of cloud computing services are being presented to the European Commission today. Cloud computing allows individuals, businesses and the public sector to store their data and carry out data processing in remote data centres, saving on average 10 - 20%.

Research and Development News

'Big Data' Technique Improves Monitoring of Kidney Transplant Patients

Estonian Government Launches eHealth Task Force

Have Your Say on the Future of Science: Public Consultation on Science 2.0

Fraunhofer MEVIS Delivers Digital Infrastructure for Germany's Largest Health Study

The Rehabilitation Gaming System (RGS)

Computer-Aided Diagnosis of Rare Genetic Disorders from Family Snaps

New Guidelines to Help EU Businesses Use the Cloud

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