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Unlocking the power of spatial omics with AI

Nature Methods volume 21, pages 1378–1381 (2024)Cite this article

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Spatial omics technologies have transformed biomedical research by offering detailed, spatially resolved molecular profiles that elucidate tissue structure and function at unprecedented levels. AI can potentially unlock the full power of spatial omics, facilitating the integration of complex datasets and discovery of novel biomedical insights.

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Fig. 1: Schematic representation of AI integration with diverse levels and types of biomedical data for enhanced insights and clinical applications.

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Acknowledgements

M.L. was partly supported by the following US National Institutes of Health grants: R01GM125301, R01HG013185, R01EY030192, R01HL150359, U19NS135582 and P01AG066597.

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Authors and Affiliations

  1. Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA

    Kyle Coleman, Amelia Schroeder & Mingyao Li

  2. Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA

    Mingyao Li

Authors
  1. Kyle Coleman
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  2. Amelia Schroeder
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  3. Mingyao Li
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Contributions

K.C. wrote the manuscript with guidance from M.L. M.L. edited the original draft. A.S. created the figure with input from K.C. and M.L. All authors edited and gave final approval to the manuscript.

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Correspondence to Mingyao Li.

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Competing financial interests

M.L. receives research funding from Biogen Inc. M.L. is a co-founder of OmicPath AI LLC. The other authors declare no competing financial interests.

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Coleman, K., Schroeder, A. & Li, M. Unlocking the power of spatial omics with AI. Nat Methods 21, 1378–1381 (2024). https://doi.org/10.1038/s41592-024-02363-x

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