[HTML][HTML] How to build the virtual cell with artificial intelligence: Priorities and opportunities
Cells are essential to understanding health and disease, yet traditional models fall short of
modeling and simulating their function and behavior. Advances in AI and omics offer …
modeling and simulating their function and behavior. Advances in AI and omics offer …
Harnessing the deep learning power of foundation models in single-cell omics
Foundation models hold great promise for analyzing single-cell omics data, yet various
challenges remain that require further advancements. In this Comment, we discuss the …
challenges remain that require further advancements. In this Comment, we discuss the …
A cell atlas foundation model for scalable search of similar human cells
Single-cell RNA-seq (scRNA-seq) has profiled hundreds of millions of human cells across
organs, diseases, development, and perturbations to date. Mining these growing atlases …
organs, diseases, development, and perturbations to date. Mining these growing atlases …
Muse-gnn: Learning unified gene representation from multimodal biological graph data
Discovering genes with similar functions across diverse biomedical contexts poses a
significant challenge in gene representation learning due to data heterogeneity. In this …
significant challenge in gene representation learning due to data heterogeneity. In this …
Universal cell embeddings: A foundation model for cell biology
Develo** a universal representation of cells which encompasses the tremendous
molecular diversity of cell types within the human body and more generally, across species …
molecular diversity of cell types within the human body and more generally, across species …
Scalable querying of human cell atlases via a foundational model reveals commonalities across fibrosis-associated macrophages
Single-cell RNA-seq (scRNA-seq) studies have profiled over 100 million human cells across
diseases, developmental stages, and perturbations to date. A singular view of this vast and …
diseases, developmental stages, and perturbations to date. A singular view of this vast and …
Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer
Liquid biopsies have the potential to revolutionize cancer care through non-invasive early
detection of tumors. Develo** a robust liquid biopsy test requires collecting high …
detection of tumors. Develo** a robust liquid biopsy test requires collecting high …
The human and non-human primate developmental GTEx projects
Many human diseases are the result of early developmental defects. As most paediatric
diseases and disorders are rare, children are critically underrepresented in research …
diseases and disorders are rare, children are critically underrepresented in research …
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
Despite the wealth of single-cell multi-omics data, it remains challenging to predict the
consequences of novel genetic and chemical perturbations in the human body. It requires …
consequences of novel genetic and chemical perturbations in the human body. It requires …
[HTML][HTML] Artificial intelligence and machine learning applications for cultured meat
Cultured meat has the potential to provide a complementary meat industry with reduced
environmental, ethical, and health impacts. However, major technological challenges …
environmental, ethical, and health impacts. However, major technological challenges …