Mapping Exposure-Induced Immune Effects: Connecting the Exposome and the Immunome
AI, environmental exposures and autoimmune diseases - EXIMIOUS' opinion piece in the EHEN blog
27 September, 2023
As of earlier this year, the European Human Exposome Network (EHEN) website features a dedicated Blog with opinion pieces contributed by researchers from the nine EHEN projects (including EXIMIOUS) on challenges and opportunities in the field of exposome research.
In recent years, there has been a growing interest in the use of artificial intelligence (AI) and the EXIMIOUS project also makes use of it, specifically to uncover patterns and correlations of disease in large datasets. In the project’s opinion piece featured in the EHEN Blog, our partners at Biogenity in conversation with CEO Kenneth Kastaniegaard, take us through the chllenges, opportunities, and lessons learned in using AI for disease prediction. The team at Biogenity aims to discover potential pathways from occupational exposure towards development of autoimmune disease by analyzing nationwide data with AI technologies, focusing on rheumatoid arthritis. In the opinion piece, however, they explore the broader usefulness of AI for exposome research and share their recommendations for the use of AI in dat-driven research.
Read the full opinion piece in the EHEN Blog!
This is an issue that everyone working with AI needs to address: Is the data structured enough to provide the answer I am looking for, and can I trust it? Trust is critical when using these models for any purpose, and it is essential to align expectations with the model’s outcomes.