ASSIST

ASSIST aims to provide medical researchers of cervical cancer with an integrated environment that will virtually unify multiple patient record repositories, physically located at different laboratories, clinics and/or hospitals. Researchers will be able to combine phenotypic and genotypic data and perform association studies on larger sets of patient records from several clinics.

Cervical cancer is the second most common cancer worldwide with 60,000 new cases and 30,000 deaths each year in Europe alone, despite a significant progress in early diagnosis and treatment. Infection by the human papillomavirus (HPV) is accepted as the central risk factor for cervical cancer. However, it is unlikely to be the sole cause for developing cancer. Ongoing research investigates the role of specific genetic, environmental factors in determining HPV-persistence and subsequent progression of disease.

Association studies among genetic characteristics and environmental agents and virus characteristics can suggest pathogenetic mechanisms that will provide new markers of risk, diagnosis and prognosis, and possibly treatment.

The main objectives of ASSIST are to:

  • Unify multiple patient records repositories
  • Automate the process of evaluating medical hypotheses (association studies type)
  • Allow researchers to combine phenotypic and genotypic data
  • Offer expressive, graphical tools for medical researchers to post their queries.

For further information, please visit:
http://assist.iti.gr

Project co-ordinator:
Centre for Research and Technology Hellas - Informatics and Telematics Institute (CERTH-ITI)

Partners:

  • Research in Advanced Medical Informatics & Telematics (BE)
  • University Hospital Ghent - Custodix (BE)
  • Charite Universitätsmedizin Berlin (DE)
  • SWORD Technologies (LU)
  • Aristotle University of Thessaloniki (GR)
  • Birkbeck College, Univ. of London (UK)
  • Benchmark Performance Ltd (UK)
  • National Technical University of Athens (GR)
  • EbioIntel (ES)
  • Pouliadis Associates Corporation (GR)
  • Centre for Research and Technology Hellas-Informatics and Telematics Institute (GR)

Timetable: 01/06 - 12/08

Total cost: € 4,190,946

EC funding: € 2,630,000

Instrument: STREP

Project Identifier: IST-2002-027510

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...