Turbine AI

Turbine AI

Home
What can Virtual Cells do for you today?
and what they can't - because the bottleneck is not computing power
Nov 11 • 
Kris Szalay

October 2025

The Patient Prediction Puzzle
on why solving patients need more than patients
Oct 16 • 
Kris Szalay

July 2025

This is All an Experiment
doing our part for stronger science
Jul 14 • 
Kris Szalay

June 2025

IC50 is a deep rabbit hole
On harmonizing data, because ground truth in biology is unlike text
Jun 30 • 
Kris Szalay

May 2025

Why can we predict biology?
and what are we really predicting?
May 22 • 
Kris Szalay

April 2025

Pretraining virtual cells is useless
the way we do it now
Apr 16 • 
Kris Szalay

January 2025

How to make data points worthwhile?
Over the years as we worked with more and more clients, we encountered training data in all shapes and sizes.
Jan 11 • 
Kris Szalay

October 2024

In defense of RNASeq
We only use DNA and RNA for defining a cell (whether it’s a patient cell, PDX or cell line).
Oct 24, 2024 • 
Kris Szalay
So how do you benchmark biology?
This is a human-readable summary of the EFFECT paper.
Oct 7, 2024 • 
Kris Szalay

September 2024

Do cell foundation models work?
Biology is hard, and it’s very easy to accidentally produce misleading results.
Sep 23, 2024 • 
Kris Szalay
© 2025 Turbine AI · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture