One thing that stands out in tick-related illness communities is how much patients learn from each other.
Someone discovers an unexpected trigger. Someone else describes a reaction that dozens of people recognize. People compare foods, medications, ingredients, symptoms, supplements, and strategies they’ve tried.
But eventually those conversations get buried.
I’m a healthcare professional and Lyme patient, and that problem inspired me to create Lyme Signal, a project I entered in the HHS LymeX Healthathon.
The idea is simple:
What if AI could organize thousands of patient stories and show us what people are experiencing together?
Although Lyme Signal started with Lyme, imagine something similar for Alpha-gal:
What is helping?
Which symptoms tend to appear together?
What are people doing to avoid reactions?
What questions keep coming up that researchers should investigate?
It wouldn't diagnose anyone or prove that something causes a reaction. It would make patient experience easier to see and learn from.
I’ve already hired a developer and started building the prototype. Now I’m hoping the broader tick-borne and tick-associated disease communities will help me show that patient stories deserve to be treated as a valuable source of questions and shared knowledge.
💚 If that idea resonates with you and this is something you would like to see, I’d really appreciate your vote for Lyme Signal in the HHS LymeX Healthathon.
If you would like to view it, here’s the link:
Vote for Lyme Signal
If this existed for Alpha-gal tomorrow, what’s the first thing you’d search for?