A new 4D simulation of a minimal bacterium shows how digital twins could transform biology, but also highlights the huge GPU demands behind whole-cell modelling.

X-Cell generalizes to new biological contexts and breaks barriers as the first scaling law demonstrator in the virtual cell domain.

Studying the cell is a difficult and time-consuming process, but scientists have pinpointed generative AI as a potential way to make it easier. The idea is to develop an AI virtual cell that would ...

State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...

New research from Washington University School of Medicine in St. Louis adds to growing evidence that helping brain cells ...

The team simulated a living cell at nanoscale resolution and recapitulated how every molecule within that cell behaved over the course of a full cell cycle. The work took many years: vast computer ...

The human cell is a miserable thing to study. Tens of trillions of them exist in the body, forming an enormous and intricate network that governs every disease and metabolic process. Each cell in that ...

The Shift from Chemistry to Biological FactoriesHow Digital Code is Replacing Synthetic ChemicalsAs soon as early scientists ...

Long-Term Survival and Biomarker Analysis Evaluating Neoadjuvant Plus Adjuvant Relatlimab (anti-LAG3) and Nivolumab (anti-PD1) in Patients With Resectable Melanoma Our study included a broad cohort of ...