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 ...

Using mathematical analysis of patterns of human and animal cell behavior, scientists say they have developed a computer program that mimics the behavior of such cells in any part of the body. Led by ...

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 ...

Understanding how cells process nutrients and produce energy - collectively known as metabolism - is essential in biology. However, analyzing the vast amounts of data on cellular processes to ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

Advanced 3D cell models recreate the complexity of human tissues, enabling researchers to examine tumor progression, probe neurological disorders, and assess therapeutic candidates. By capturing the ...

iXCells’ mission is to empower life science researchers and patient foundations to advance personalized therapies and accelerate discovery of better medicines for a healthier future. iXCells’ cell ...

When injured, cells have well-regulated responses to promote healing. These include a long-studied self-destruction process that cleans up dead and damaged cells as well as a more recently identified ...