Turbine AI

Assessing a Virtual Cell’s utility

Hitting 2026 running, I can tell you that the team was asked a lot internally to evaluate and share their opinion on many published approaches on…

Jan 7 • Gerold Csendes

2

December 2025

How did we get a regression model to the top of the Virtual Cell Challenge

and what this tells us about the state of computational biology

Dec 9, 2025 • Kris Szalay

25

7

3

November 2025

What can Virtual Cells do for you today?

and what they can't - because the bottleneck is not computing power

Nov 11, 2025 • Kris Szalay

4

2

October 2025

The Patient Prediction Puzzle

on why solving patients need more than patients

Oct 16, 2025 • Kris Szalay

July 2025

June 2025

IC50 is a deep rabbit hole

On harmonizing data, because ground truth in biology is unlike text

Jun 30, 2025 • Kris Szalay

9

May 2025

April 2025

Pretraining virtual cells is useless

the way we do it now

Apr 16, 2025 • Kris Szalay

6

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, 2025 • Kris Szalay

1

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

2

So how do you benchmark biology?

This is a human-readable summary of the EFFECT paper.

Oct 7, 2024 • Kris Szalay

1

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

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