About the Project
In the European Union, Adverse drug reactions (ADRs) are responsible for up to 200,000 deaths per year, with annual costs to society of 80 billion EUR. The risk for serious ADRs increases exponentially with more than five medications prescribed. One of the major aims of Clinical Pharmacists is to assess the Medication Appropriateness Index of individual patients in order to reduce the risk for ADRs.
With AI4Health, Robimo GmbH and the Pharmacoinformatics Research Group at the University of Vienna develop an AI-based platform able to predict drug-drug interactions (DDIs) of medications and warn patients, doctors, and pharmacists if a combination of medications poses the risk of serious ADRs. The system leverages millions of medication records from OpenFDA and combines this information with knowledge about the biological activity profiles of drugs from the publicly available ChEMBL database. Depending on the user’s medical knowledge and expertise, the platform will provide different levels of information.
Developed in partnership with:
How AI4Health Works
AI4Health allows users to search for Active Substances, Drugs, and Side Effects, and combinations thereof.
Users can input drugs or active substances to check for interactions:
The platform utilizes data from OpenFDA and ChEMBL, processed by advanced AI models.
Data leveraged from OpenFDA
Features and Results
The results comprise information on individual drugs and their side effects, major DDIs reported (if available), as well as predicted ADRs.
Access the AI4Health Application
The AI4Health web application is hosted on a separate server. Click the button below to access the tool.
Go to AI4Health AppFunding & Support
The development of AI4Health has been generously funded and supported by:
We are grateful for their contribution to advancing healthcare through technology.