A foundation model, a large-scale deep learning model pretrained on vast datasets, has revolutionized data interpretation through self-supervised learning with capacity for various downstream tasks.

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 ...

Billion dollar-backed AI drug developer, Xaira Therapeutics, has recently released the largest virtual cell model to-date to predict how cells respond to genetic perturbations in unseen biological ...

REDWOOD CITY, Calif. — October 28, 2025 — Today, the Chan Zuckerberg Initiative (CZI) and NVIDIA announced an expanded collaboration to accelerate life science research by driving development and ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first large-scale foundation model that integrates single-cell analysis with spatial ...

Understanding the mechanisms of early human embryogenesis is pivotal for addressing global health challenges — from infertility and congenital defects to adult diseases rooted in developmental ...

Researchers at Helmholtz Munich and the Ludwig Maximilian University now show that, in neural stem cells, proteins of the cytoskeleton are also found in the cell nucleus, where they can influence ...

120M+ cells and 225,000 perturbation interactions will accelerate virtual cell model development in a first-of-its-kind partnership and will be released open source as part of a shared commitment to ...

A new global initiative launched today aims to close a critical gap in ALS/MND drug discovery - current cell models used for testing treatments do not currently reflect the diverse nature of the ...