ALERT

Serious adverse effects resulting from the treatment with thalidomide prompted modern drug legislation more than 40 years ago. Post-marketing spontaneous reporting systems for suspected adverse drug reactions (ADRs) have been a cornerstone to detect safety signals in pharmacovigilance. It has become evident that adverse effects of drugs may be detected too late, when millions of persons have already been exposed.

In this project, an alternative approach for the detection of ADR signals will be developed. Rather than relying on the physician's capability and willingness to recognize and report suspected ADRs, the system will systematically calculate the occurrence of disease (potentially ADRs) during specific drug use based on data available in electronic patient records. In this project, electronic health records (EHRs) of over 30 million patients from several European countries will be available. In an environment where rapid signal detection is feasible, rapid signal assessment is equally important. To rapidly assess signals, a number of resources will be used to substantiate the signals: causal reasoning based on information in the EHRs, semantic mining of the biomedical literature, and computational analysis of biological and chemical information (drugs, targets, anti-targets, SNPs, pathways, etc.).

The overall objective of this project is the design, development and validation of a computerized system that exploits data from electronic healthcare records and biomedical databases for the early detection of adverse drug reactions. The ALERT system will generate signals using data and text mining, epidemiological and other computational techniques, and subsequently substantiate these signals in the light of current knowledge of biological mechanisms and in silico prediction capabilities. The system should be able to detect signals better and faster than spontaneous reporting systems and should allow for identification of subpopulations at higher risk for ADRs.

For further information, please visit:

Project co-ordinator:
ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM

Partners:

  • SOCIETA SERVIZI TELEMATICI SRL
  • UNIVERSIDADE DE AVEIRO
  • THE UNIVERSITY OF NOTTINGHAM
  • PHARMO COOPERATIE UA
  • AARHUS UNIVERSITETSHOSPITAL, AARHUS SYGEHUS
  • UNIVERSIDADE DE SANTIAGO DE COMPOSTELA
  • UNIVERSITAT POMPEU FABRA
  • IRCCS CENTRO NEUROLESI BONINO PULEJO
  • FUNDACIO IMIM
  • LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE
  • ASTRAZENECA AB
  • UNIVERSITE VICTOR SEGALEN BORDEAUX II
  • AGENZIA REGIONALE DI SANITA
  • UNIVERSITA DEGLI STUDI DI MILANO - BICOCCA

Timetable: from 02/2008 – to 07/2011

Total cost: € 5.880.600

EC funding: € 4.500.000

Programme Acronym: FP7-ICT

Subprogramme Area: Advanced ICT for risk assessment and patient safety

Contract type: Collaborative project (generic)

Related news article:

Most Popular Now

Significant Disparities in Telemedicine …

After "COVID-19," the term that most people will remember best from 2020 is likely to be "social distancing." While it most commonly applied to social gatherings with family and friends...

Model Used to Evaluate Lockdowns was Fla…

In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model...

New Virtual Screening Strategy Identifie…

A novel computational drug screening strategy combined with lab experiments suggest that pralatrexate, a chemotherapy medication originally developed to treat lymphoma, could potentially be repurposed to treat COVID-19. Haiping Zhang...

Using Artificial Intelligence to Find Ne…

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed. The intent...

FDA Releases Artificial Intelligence / M…

Today, the U.S. Food and Drug Administration released the agency's first Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. This action plan describes a multi-pronged approach...

One in Four Doctors Attacked, Harassed o…

While many physicians benefit from social media by networking with potential collaborators or interfacing with patients, a new study from Northwestern University and the University of Chicago found many physicians...

CliniSys Launches Laboratory Information…

CliniSys has launched a new laboratory information management system for genomic laboratories in the UK. The company has brought GLIMS Genomics to the UK from Europe, where it is being...

The Institute of Healthcare Management C…

The Institute of Healthcare Management has called for honest and open communication about NHS capacity after a snapshot survey revealed the scale of sickness absence across the service. The UK's leading...

First NHS Trust and Sectra Achieve Rapid…

A new region-wide approach to analysing x-rays, MRI scans, CT scans, mammography, and an entire range of crucial diagnostic images, has started to become reality, now that The Pennine Acute...

Abbott to Launch the NeuroSphere™ myPath…

Abbott (NYSE: ABT) today announced the upcoming launch of NeuroSphere™ myPath™, a digital health app designed to track and report on patient perceived pain relief and general well-being associated with...

Bayer Transforms Pharma Business through…

At its virtual Pharma Media Day, Bayer presented exciting progress in transforming its pharmaceutical business with breakthrough innovation in healthcare that will significantly help patients suffering from conditions that are...