If Stephen Quake gets his way, biologists in the future will spend a lot less time wielding pipettes. “Our goal,” he says, “is to create computational tools so that cell biology goes from being 90% ...

This type of data–called pertubations–is crucial to training AI models, because information on how cells respond to various molecules improves an algorithm’s ability to predict how they’ll be affected ...

A human cell is a Rube Goldberg machine like no other, full of biological chain reactions that make the difference between life and death. Understanding these delicate relationships and how they go ...

SAN FRANCISCO--(BUSINESS WIRE)--Tahoe Therapeutics today announced $30 million in new funding to build the definitive foundational dataset for training Virtual Cell Models. With this, the team will ...

Ginkgo Datapoints has launched the Virtual Cell Pharmacology Initiative (VCPI), an open-source effort to create the first standardized framework for virtual cell modeling in drug discovery. By ...

Drug discovery requires experimental systems that more accurately capture the complexity of human tissues. However, animal models and conventional cell culture ...

Descriptions of the embryo go back at least to the time of Aristotle, but it has only been since the late 19 th century and early 20 th century that advances in experimental approaches allowed ...

Researchers at Texas A&M University model extreme conditions using 3D bioprinting, revealing insights that could make flight ...

Summary: A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia University have created an artificial intelligence model that can ...