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 ...

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 ...

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 ...

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 ...

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 ...

A simulated cell in the early stages of division. Left half shows cytoplasm (blue cubes), mRNA degradation machinery molecules (pink), and sugar transporters (brown). Right half adds the membrane ...

In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines ...

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 ...

More than 250 million people worldwide live with chronic hepatitis B (HBV), yet there is still no accessible animal model for studying the disease or testing novel therapies. Researchers have now ...