HealthAgents

HealthAgents is creating an agent-based distributed decision support system (DSS) for the diagnosis and prognosis of brain tumours. The HealthAgents system implements novel pattern recognition discrimination methods in order to analyse in vivo MRS and ex vivo/in vitro HR-MAS and DNA data. HealthAgents is not only applying advanced agent technology to the biomedical field, but also nurturing the HealthAgents network, a globally distributed information repository for brain tumour diagnosis and prognosis.

Brain tumours remain an important cause of morbidity and mortality and afflict an increasing percentage of aging adults with a crude incidence rate of 8 per 100,000 inhabitants in Europe. Diagnosis using Magnetic Resonance Imaging (MRI) is non-invasive, but only achieves 60-90 % accuracy, depending on the tumour type and grade. The current gold standard classification of a brain tumour by histopathological analysis of biopsy is an invasive surgical procedure and incurs a risk of 2.4-3.5% morbidity and 0.2-0.8% mortality, in addition to healthcare costs and stress to patients.There is a need to improve brain tumour classification, and to provide non-invasive methods for brain tumour diagnosis and prognosis, to aid patient management and treatment.

The HealthAgents project will deliver an opensource web-based DSS which provides hospitals and organisations with a reliable tool to aid in the diagnosis of brain tumours and their prognosis and avoid invasive surgical procedures.

The main objectives of the project are:

  • Improve the classification of brain tumours through multi-agent decision support over a distributed network of local databases.
  • Develop new pattern recognition methods for a distributed classification and analysis of high-resolution magic angle spinning (HR-MAS) and DNA data.
  • Define a method to assess the quality and usability of a new candidate local database containing a set of new cases, based on a quality score.
  • Compile, evaluate and use parameters to audit clas¬sifiers and improve them periodically.
  • Create the HealthAgents network, a globally distributed brain tumour information and knowledge repository comprising some of the leading European centres of excellence in neuro-oncology.

For further information, please visit:
http://www.healthagents.net

Project co-ordinator:
MicroArt (ES)

Partners:

  • MicroArt, SL (ES)
  • Universitat de València (ES)
  • Universitat Autònoma de Barcelona (ES)
  • Instituto de Aplicaciones de las TIC avanzadas (ES)
  • Pharma Quality Europe (IT)
  • Katholieke Universiteit Leuven (BE)
  • University of Birmingham (UK)
  • University of Edinburgh (UK)
  • University of Southampton (UK)

Timetable: from 01/06 – to 12/08

Total cost: € 4.106.879

EC funding: € 3.791.270

Instrument: STREP

Project Identifier: IST-2004-27214

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...