Columbia researchers created an AI model that predicts gene activity in any human cell, advancing disease research and ...

As recently as a few years ago, scientists thought there were only a few hundred distinct cell types, but new technologies ...

aiming to build generalized “foundation models for biology” that can fuse diverse data types spanning genomics, protein sequences, cellular structures, epigenetic states, cell images ...

Studying the cell is a difficult and time-consuming process, but scientists have pinpointed generative AI as a potential way ...

A new predictive AI system has been developed to predict gene activity in human cells with high precision. Researchers at Columbia University Vagelos College of Physicians and Surgeons, led by Raul ...

George has developed stochastic models of T cell recognition of evolving ... and systems approach for developmental and stem cell biology at a single cell resolution. Hiroaki Kitano is the ...

Barbara Gisevius' research group at Professor Ralf Gold's Research Department of Neuroscience, has developed a cell model to study the interaction of the virus with nerve cells. Using this model ...