VOL. 01 / 2026
I kept reading about
biomedical AI.
I wanted to play
with it.
Current experiment
01
Medical AI / Fairness
Can an AI be “accurate” and still be unfair?
Overall accuracy can hide a lot. In this experiment, change who is represented in a simulated medical dataset and investigate what happens when model performance is examined group by group.
Run experiment →
Why Labs?
Reading got me interested. Messing around made it click.
I started NextGenBioAI to write about the science I kept finding interesting: machine learning in medicine, computational biology, new approaches to drug discovery, and everything in between.
But some ideas are difficult to understand from an article alone. Labs is where I turn those ideas into small experiments — places to change something, see what happens, and ask why.
basically: touch the science →
Lab notebook
01—04
02
Diagnostics
Where should an algorithm draw the line?
In development
03
Data
What's wrong with this dataset?
Notebook idea
04
Computational Biology
How does computation narrow down
drug candidates?
Notebook idea