New FP7 eHealth Project - ALERT

A new EU-funded information and communication technology (ICT) project is tackling issues of safety in newly developed drugs. Over the next three and a half years, the ALERT (Early detection of adverse drug events by integrative mining of clinical records and biomedical knowledge) project partners will work on an innovative computer system for a better and faster detection of adverse drug reactions (ADRs).

Currently, so-called spontaneous reporting systems are used when side effects are discovered in a drug that is already on the market. Clinicians are responsible for recognising and reporting those side effects. "A number of recent, highly publicised drug safety issues showed that adverse effects of drugs may be detected too late, when millions of patients have already been exposed," the research consortium comments.

With the aim of improving this system, ALERT will analyse data from electronic healthcare records (EHRs) of over 30 million patients from the Netherlands, Denmark, UK, Spain and Italy, using a variety of computational techniques. Those techniques, including text mining and epidemiological computing, will help to retrieve information from the data and detect 'signals', such as combinations of drugs and suspected ADRs that require further investigation.

The focus of the ALERT project will be on side effects in children, as relatively little is known about them and children are particularly vulnerable. Moreover, the interdisciplinary research team will attempt to find a way to discriminate between signals that do indeed indicate an ADR and spurious signals, which might even result in withdrawal of a useful drug from the market. In order to make this distinction, the ALERT researchers will look for a biological explanation for each signal by comparing the side effect with up-to-date knowledge about biological mechanisms. The findings will then be further corroborated in computer simulations and models.

The project partners emphasise that this kind of analysis is a continuous process: "As more patient data become available and medical, biological and molecular knowledge expands, previous conclusions will need to be revisited. In order to deal with this constant process of revision, ALERT will focus on automated procedures as much as possible."

A total of 18 project partners from eight countries are involved in the ALERT project, which is coordinated by the Erasmus University Medical Centre Rotterdam, Netherlands. The project cost amounts to nearly €5.9 million, €4.5 million of which are covered by the EU's Seventh Framework Programme (FP7)

For further information, please visit:
Erasmus University Medical Centre Rotterdam
http://www.erasmusmc.nl/
IMIM Foundation (Fundació Institut Municipal d'Investigació Mèdica), Barcelona
http://www.imim.es/

Related article:
FP7 Projects: ALERT

Copyright ©European Communities, 2008
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

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...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

A Novel AI-Based Method Reveals How Cell…

Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave in changing biological environments, such as those found within a cancerous...