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How to build the virtual cell with artificial intelligence: Priorities and opportunities

Advances in AI and omics enable the creation of AI virtual cells (AIVCs)—multi-scale, multimodal neural network models that simulate molecules, cells, and tissues across diverse states. This vision outlines their design and collaborative development, promising to transform biological research through high-fidelity simulations, accelerating discoveries, and fostering interdisciplinary open science collaborations.

Evolutionary trajectories of small cell lung cancer under therapy

Nature, Published online: 13 March 2024; doi:10.1038/s41586-024-07177-7

We uncover key processes of the genomic evolution of small cell lung cancer under therapy, identify the common ancestor as the source of clonal diversity at relapse and show central genomic patterns associated with drug response.

Genome-wide characterization of circulating metabolic biomarkers

Nature, Published online: 06 March 2024; doi:10.1038/s41586-024-07148-y

A meta-analysis of genome-wide association studies for 233 circulating metabolites from 33 cohorts reveals more than 400 loci and suggests probable causal genes, providing insights into metabolic pathways and disease aetiology.

Pan-cancer proteogenomics characterization of tumor immunity

Immunotherapy holds strong promise for cancer treatment but at present benefits only a small proportion of cases. A pan-cancer analysis of the immune landscape in more than 1,000 tumors across ten cancer types reveals immune surveillance and immune evasion mechanisms as well as potential molecular target that could augment future immunotherapy and precision medicine strategies.

Mitochondrial dysfunction abrogates dietary lipid processing in enterocytes

Nature, Published online: 20 December 2023; doi:10.1038/s41586-023-06857-0

Mitochondria have a pivotal role in the transport of dietary lipids in enterocytes, a finding that might have relevance to understanding the aberrant gastrointestinal function in patients with mitochondrial disorders.

Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Nature, Published online: 31 October 2023; doi:10.1038/d41586-023-03316-8

Artificial-intelligence tools are transforming data-driven science — better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust.

Scalable genetic screening for regulatory circuits using compressed Perturb-seq

Nature Biotechnology, Published online: 23 October 2023; doi:10.1038/s41587-023-01964-9

Compressed Perturb-seq incorporates compressed sensing to genetic screening for scalable discovery of genetic interactions.

Plasma proteomic associations with genetics and health in the UK Biobank

Nature, Published online: 04 October 2023; doi:10.1038/s41586-023-06592-6

The Pharma Proteomics Project generates the largest open-access plasma proteomics dataset to date, offering insights into trans protein quantitative trait loci across multiple biological domains, and highlighting genetic influences on ligand–receptor interactions and pathway perturbations across a diverse collection of cytokines and complement networks.
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