| Chan Zuckerberg Initiative
Andrea Califano, PhD, Chan Zuckerberg Biohub New York’s founding director, explains the AI model for predicting how gene networks drive cell behavior.| Inside Precision Medicine
GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.| GEN - Genetic Engineering and Biotechnology News
EP 25 - The first decade of the Chan Zuckerberg Initiative| www.corememory.com
Researchers are using the imaging data to study aging and disease.| Chan Zuckerberg Initiative
Biologists are skipping the petri dish and using AI-powered virtual cells to experiment in silico.| Freethink
A new foundation model called GREmLN from a Columbia and Chan Zuckerberg Biohub team, delivers superior cell-type classification with only 10.3 million parameters, outpacing rivals like the 100-million-parameter scFoundation. Released July 9 on bioRxiv, it taps gene regulatory networks to achieve a 0.929 macro F1 score on immune cell data. “Instead of using large language… The post Columbia-CZ team develops 10.3M parameter model that outperforms 100M parameter rivals on cell type classifi...| Drug Discovery and Development
GREmLN is part of CZI’s effort to build AI biomodels that predict and understand how cells work — and what can go wrong in diseases like cancer.| Chan Zuckerberg Initiative
The center will bring custom gene-editing treatments to children.| TIME
Emerging Soon After the Landmark Case of Baby KJ Muldoon| erictopol.substack.com