In the emerging field of single-cell biology, recent articles discuss innovative approaches to understanding human diseases. Fischer et al. (2025) emphasize adapting systems biology to navigate the complexities of human diseases in the era of single-cell analysis. Coleman et al. (2024) explore the integration of AI in spatial omics, unlocking new research potentials. Temporal modeling through single-cell transcriptomics is highlighted by Ding et al. (2022), showcasing its relevance in disease dynamics. Ingber (2022) underscores the significance of human organs-on-chips in disease modeling and personalized medicine. Liu et al. (2024) address spatiotemporal omics, while Börner et al. (2025) detail the Human BioMolecular Atlas Program (HuBMAP) for 3D mapping. The integration of AI and advanced biology methods demonstrates promise for breakthroughs in disease understanding and treatment, paving the way for future innovations in health science research.
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