DigLife aims at enabling and advancing the use of AI methods in the One Health context, contributing to:

• promoting emerging innovative in silico digital health European knowledge management mapping and anticipation activities and to supporting Europe’s beating cancer plan and apply this to other emerging high priority NCDs  
• expanding EU technological preparedness towards the use of new genomic techniques in life sciences and their applications in plants, animals, microorganisms and humans.

Access our tools

Use advanced AI tools for searching documents using the Retrieval Augmented Generation Evaluation study (RAG-Ev) tool.

Coming soon:

• Genomics: use semantic search to obtain genomic sequence correspondence at high speed.
• Medical images: use a multimodal network to analyze medical images.

Our mission

The Digital Health unit (F.7) of the Directorate for Health and Food is leading the DigLife initiative, whose mission is to enable, advance and disseminate the use of Artificial Intelligence methods and tools for One Health.

DigLife aims at enabling and advancing the use of AI methods in the One Health context with the following objectives:  

• Assess the use of AI-based approaches to mine large scientific, health-related, literature bodies and multimodal health datasets to facilitate and  support domain experts and policy officiers in their daily work on support of policymaker’s requests on health-related topics, such as analysis of efficacy of certain treatments, identification of potential biological mechanisms of disease and prevention measures.
• Use novel machine learning approaches to understand the impact of external factors on human health, with a focus on AI-based patient models for studying diseases such as respiratory and mental ones in correlation with microbiome, diet or environmental factors.  
• To contribute that data and algorithm-based innovations in healthcare are safe, secure, unbiased, fair, inclusive and trustworthy by providing scientific support on health aspects to the AI Act (including sectorial guidance, standardization, and evidence-based analyses) and by developing novel in silico tools for data exchange and analysis.  

Specifically the objectives will contribute to two concrete areas of the directorate work:

• To contribute to the promotion of emerging innovative in silico digital health European knowledge management mapping and anticipation activities and to supporting Europe’s beating cancer plan and apply this to other emerging high priority NCDs  
• To expand EU technological preparedness towards the use of new genomic techniques in life sciences and their applications in plants, animals, microorganisms and humans.