We document our methodology and findings as we build, not just after.
Most student orgs treat research as the thing you write up after a project is finished and successful. We'd rather publish while it's still messy, including the methodology that didn't work, because that's the part other premed students actually learn from.
It also keeps us honest. Writing down exactly how we evaluated the sickle cell model, including its limits, makes it a lot harder to quietly oversell what an early-stage tool can actually do.
A working writeup of our approach, data handling, and evaluation methodology for the sickle cell detection project. We'll publish this as a preprint once results are validated, not before.
A premed-written survey of existing AI approaches to blood disorder screening, framing where our project fits and what's already been tried.
A reflective piece on what premed students actually need to learn to contribute meaningfully to AI-in-medicine projects, based on what our own team had to figure out the hard way.
Our first preprint is in progress. We'd rather publish something accurate and useful than rush a release.
If you're a premed student working on something at the intersection of AI and medicine, we want to help you publish it.
Pitch Your Research