Phenotypic 3D cell models incorporate tissue architectures and extracellular matrices to recapitulate the complexity of 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 ...

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 ...

Today, the Chan Zuckerberg Initiative (CZI) and NVIDIA announced an expanded collaboration to accelerate life science research by driving development and adoption of virtual cell models through tools, ...

Early detection of safety liabilities of new therapies is a critical biopharmaceutical challenge. Addressing this challenge could significantly advance drug discovery. Advanced human cell models, ...

Tahoe, Arc, and Biohub have played leading roles in advancing virtual cell models: AI systems capable of simulating cellular behavior, drug response, and disease biology. This collaboration marks the ...

Single-cell sequencing reveals cellular heterogeneity within models, while advanced imaging captures dynamic processes in living organoids. These tools, combined with rigorous validity assessment, ...