Health-e-Child

The Health-e-Child project aims at developing an integrated healthcare platform for European paediatrics, providing seamless integration of traditional and emerging sources of biomedical information.

The goal of Health-e-Child is to become the universal biomedical knowledge repository and communication conduit for the future, a common vehicle by which all clinicians will access, analyse, evaluate, enhance and exchange biomedical data of all forms. It will be an indispensable tool in their daily clinical practice, decision making and research. It will be accessible at any time and from anywhere, and will offer a friendly, multi-modal, efficient and effective interaction and exploration environment. Pivotal to this outlook are Health-e-Child's breakthroughs in personalised medicine through integrated disease modelling, knowledge discovery and decision support.

Fashioned around three paediatric diseases with at least partly unknown causes, classification and/or treatment outcomes - heart diseases (right ventricular overload [RVO], cardiomyopathies), inflammatory diseases (juvenile idiopathic arthritis [JIA]), and brain tumours (gliomas), Health-e-Child is building the enabling tools and services that improve the quality of care and reduce its cost by increasing efficiency, through:

  • Integrated disease models,
  • Database-guided decision support systems,
  • Cross modality information fusion and data mining for knowledge discovery.

Key to the Health-e-Child system is the establishment of multi-site, vertical, and longitudinal integration of biomedical data, information and knowledge delivered via a Gridbased platform, supported by robust tools for search, optimisation and matching processes. The core of Health-e-Child revolves around its efforts dedicated to meeting the challenges entailed in biomedical information analysis for the advancement of personalised medicine.

For further information, please visit:
http://www.Health-e-Child.org

Project co-ordinator:
Siemens AG

Partners:

  • Siemens AG, Erlangen, (DE)
  • Lynkeus SRL, Rome, (IT)
  • I.R.C.C.S. Giannina Gaslini, Genoa, (IT)
  • University College London – Great Ormond Street Children's Hospital, London, (UK)
  • Assistance Publique Hopitaux de Paris – Necker, Paris, (FR)
  • European Organisation for Nuclear Research (CERN), Geneva, (CH)
  • Maat G Knowledge, Toledo, (ES)
  • University of the West of England, Bristol, (UK)
  • University of Athens,Athens, (GR)
  • DISI University of Genoa, Genoa, (IT)
  • The French National Institute for research in Computer Science and Control (INRIA), Sophia Antipolis, (FR)
  • European Genetics Foundation, Bologna, (IT)
  • Aktsiaselts ASPER BIOTECH, Tartu, (EE)
  • Gerolamo Gaslini Foundation, Genoa, (IT)

Timetable: from 01/06 to 12/09

Total cost: € 16.701.753

EC funding: € 12.186.270

Instrument: IP

Project Identifier: IST-2004-027749

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...