Food allergy is a medical condition affecting over 220 million people worldwide, and the number keeps rising.
Living with a food allergy impacts both physical and mental health — from the constant fear of accidental exposure to the daily burden of carrying epinephrine and cortisone everywhere.
Beyond the risk of life-threatening reactions like anaphylaxis, there’s also the social isolation and anxiety that come with always having to be careful about what you eat.
Can we do something about it?
Before anything else, we need data.
That means identifying, collecting, and curating relevant datasets — from clinical records and immunotherapy trials to genomics, proteomics, and microbiome data.
This phase involves:
- Mapping existing data sources
- Handling missing and heterogeneous data
- Ensuring privacy compliance
- Collaborating with research labs
We’re building the first open, structured repository of datasets related to food allergy research.
Thanks to all our explorers who’ve contributed so far 🤠
To explore and advance the application of AI to Food Allergy research — by:
- Identifying open problems
- Building resources
- Enabling collaboration
- Doing something genuinely useful
This field is wide open — and together, we can help push it forward.
A final remark
If you don’t suffer from food allergies, you likely know someone who does.
This is a daily challenge for millions — but also a space full of opportunity for meaningful research.Let’s build, learn, and contribute — while having fun along the way. 💡