ACGT

ACGT aims to present the 'next-step' in cancer research and fill-in the technological gaps of clinical trials targeting two forms of cancer: breast cancer and paediatric nephroblastoma. ACGT will develop a Biomedical GRID infrastructure supporting seamless mediation services for sharing clinical and genomic expertise. It will help to identify quicker and more efficiently the characteristics that determine what form of treatment best suits which patient.

ACGT aims to provide researchers and patients with the best means and resources to fight cancer. ACGT is working towards the rapid identification of cancer profiles and best treatments. The ACGT project will:

  • Define common standards of data storage at each level of investigation.
  • Develop new ontologies for cross-referencing terms and their biological contexts.
  • Implement a bio-medical GRID infrastructure offering seamless mediation services for sharing data and dataprocessing.

ACGT will therefore deliver a unifying infrastructure allowing cancer researchers to share their data and to benefit from the innovative informatics tools that are being developed by other researchers.

For further information, please visit:
http://www.eu-acgt.org

Project co-ordinator:
ERCIM EEIG

Partners:

  • ERCIM EEIG - Institut National de Recherche en Informatique et en Automatique - Healthgrid (FR)
  • Foundation for Research and Technology Hellas - A. Persidis & SIA O.E. - University of Crete - Institute of Communications and Computer Systems (GR)
  • University van Amsterdam - Philips Electronics Nederland B.V. (NL)
  • Association Hospitaliere de Bruxelles – Centre Hospitalier Universitaire Bordet – Custodix - Facultes Universitaires Notre-Dame de la Paix (BE)
  • Institut Suisse de Bioinformatique (CH)
  • Lunds Universitet (SE)
  • Universidad de Malaga - Universidad Politechnica de Madrid (ES)
  • Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung - Unisersitaet Hannover - Universitaet des Saarland - Universitaet Hamburg (DE)
  • Instytut Chemii Biooganicznej pan w Poznaniu (PL)
  • S.C. SIVECO ROMANIA SA (RO)
  • The Chancellor, Masters and Scholars of the University of Oxford (UK)
  • Hokkaido University (JP)
  • Istituto Europeo di Oncologia s.r.l. (IT)

Timetable: from 02/06 - to 01/10

Total cost: € 16. 747.206

EC funding: € 11. 887.000

Instrument: Integrated Project

Project Identifier: IST-2004-026996

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...