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

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...

A Record Year with More than 800 Exhibit…

9 - 11 April 2024, Berlin, Germany. DMEA 2024 kicks off today, focusing on the key issues in the digital transformation of the healthcare system. From now until 11 April over...

Herefordshire and Worcestershire Health …

Herefordshire and Worcestershire Health and Care NHS Trust has successfully implemented Alcidion's Miya Precision platform to streamline bed management workflow across seven community hospitals in Worcestershire. The trust delivers community...

New Horizon Europe Funding Boosts Europe…

The European Commission has announced the launch of new Horizon Europe calls, with a substantial funding pool of over €112 million. These calls are aimed primarily at pioneering projects in...