Chan Zuckerberg initiative unveils AI model to decode cellular behavior

scGPT: toward building a foundation model for single-cell multi-omics using generative AI

Generative pretrained models have achieved remarkable success in various domains such as language and computer vision. Specifically, the combination of large-scale diverse datasets and pretrained transformers has emerged as a promising approach for developing foundation models. Drawing parallels between language and cellular biology (in which texts comprise words; similarly, cells are defined by genes), our study probes the applicability of foun…

Chan Zuckerberg initiative unveils AI model to decode cellular behavior

Today, the Chan Zuckerberg Initiative (CZI) announced its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, making complex biological problems, like cancer, easier to solve.

New AI model could help scientists pinpoint signs of cancer cells

The Chan Zuckerberg Initiative (CZI) reports its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, making complex biological problems, like cancer, easier to solve.

Principles and Strategies for Developing Network Models in Cancer

The flood of genome-wide data generated by high-throughput technologies currently provides biologists with an unprecedented opportunity: to manipulate…

Columbia-CZ team develops 10.3M parameter model that bests 100M parameter rivals on cell type classification

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…

Chan Zuckerberg Initiative's AI Model Captures Gene Networks to Address Disease

Andrea Califano, PhD, professor of chemical and systems biology at Columbia University, encourages an artificial intelligence (AI) approach to cancer immunotherapy, where AI models predict the genes that need to be toggled to train the immune system to target specific organs on demand.  Califano, who is also president of Chan Zuckerberg Biohub New York, has spent the past 20 years of his faculty career applying computational approaches to interr…