EU Awards 2,6 Million Euros for Patients with Chronic Cardiorenal Disease

To help patients manage their (potential) chronic heart and kidney disease, the European Commission has awarded 2,6 million euros to the CARRE project. A group of interdisciplinary researchers will compile personalised alerting, planning and educational services. This will empower patients, and both professionals and patients will be able to make shared informed decisions on the disease.

Cardiorenal syndrome is the condition characterised by simultaneous kidney and heart failure while the primarily failing organ may be either the heart or the kidney. Very often the dysfunction occurs when the failing organ precipitates the failure of the other.

Current studies estimate that 9-16% of the overall population is at risk or at the onset of chronic kidney disease, while chronic heart failure amounts to 1-2% of total healthcare costs and end-stage renal disease for more than 2% of total healthcare.

Challenging
Managing or even preventing this complex but common situation can be challenging: Comorbidities require care provision by different medical specialities while addressing a chronic patient trying to lead a normal life.

According to Robert Johnstone of the International Alliance of Patient Organizations there is a clear need for "patients to get up off their knees"!

Interlinked clinical information
To tackle this problem, the European Commission has decided to fund the CARRE project. This project will use internet aware sensors and other sources of medical information to provide dynamically interlinked clinical information personalized to the patient.

Patients and clinicians will be able to visualise, understand and interact with this linked knowledge via a set of decision support service in an all-inclusive and integrated approach the patient with (or at risk of) cardiorenal disease and comorbidities.

Partners
The CARRE consortium consists of 6 partners from 4 countries (Greece, United Kingdom, Lithuania and Poland) and is coordinated by the Democritus University of Thrace in Alexandroupoli, Greece.

The project is driven by two partners from the medical domain, namely the Democritus University of Thrace and the Vilnius University Hospital Santariškių Klinikos (LT), with a clear long experience in medical research in cardiorenal disease and comorbidities as well as with a long record of developing and deploying successful informatics interventions in the real healthcare setting.

The core semantic model and interlinking is performed by The Open University (UK) a leading expert in semantic technologies, while the University of Bedfordshire (UK) undertakes the work on visual analytics and cloud computing - both partners also contribute their long experience in semantic information extraction from unstructured data sources and web service oriented architectures.

Personal sensors
Kaunas University of Technology (LT), with a long proven innovation experience in personal sensors and sensor networks for cardiorenal disease tackles the integration of personalized sensor data. Finally, the Industrial Research Institute for Automation and Measurements (PL), an established partner in security and automation systems, brings in the required expertise on decision support systems and on systems security and data privacy.

The overall aim of the CARRE project is to show the potential of semantic interlinking of heterogeneous data to construct dynamic personalized models of complex comorbid medical conditions with disease progression pathways and comorbidity trajectories. Also, to show that visual analytics based on such models can support patient understanding of personal complex conditions (projected against ground knowledge and statistical views of similar patient population) and be the basis for shared decision support services for the management of comorbidities.

Freely available
All CARRE outcomes will be available as open source, protected under Creative Commons or GNU-GPL and other similar appropriate licensing schemes. CARRE project outcomes will thus be freely available for use and re-use by any interested party. Proof-of-concept will be shown via deployment and evaluation in two different healthcare settings.

The CARRE project is expected to reinforce the cardiorenal patients' understanding of the disease and the complex interdependencies of existing or projected comorbidities, supporting personalized treatment stratification, monitoring alerts, education and shared informed decision making.

Through these outcomes, CARRE strengthens the EU resolution to put the chronic patient at the center.

For further information, please visit:
http://www.carre-project.eu

About CARRE project
The CARRE project investigates information and communication technologies for empowering patients with comorbidities (multiple co-occurring medical conditions), or persons with increased risk of such conditions, especially in the case of chronic cardiac and renal disease patients. The CARRE project has received a 3-year EC funding from the European Community 7th Framework Programme FP7-ICT-2013 work programme under grant agreement no. 611140.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...