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  • T cells assemble lentivirus to solve local delivery of stable gene therapy

  • Haslam, A. & Prasad, V. Estimation of the percentage of US patients with cancer who are eligible for and respond to checkpoint inhibitor immunotherapy drugs. JAMA Netw. Open. 2 (5), e192535. https://doi.org/10.1001/jamanetworkopen.2019.2535…

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  • Integrating machine learning techniques for critical node identification in complex networks

  • Candia, J. Advertising and irreversible opinion spreading in complex social networks. Int. J. Mod. Phys. C 20, 799–815. https://doi.org/10.1142/S0129183109014011 (2009).

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  • Xu, T., Chen, J., He,…

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  • Associations of cannabis use, other substances, and lifestyle choices on anxiety in medical cannabis patients across 45 days

  • American Psychiatric Association. American Adults Express Increasing Anxiousness in Annual Poll; Stress and Sleep are Key Factors Impacting Mental Health. (2024).

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  • Springer Nature

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  • Cover runners-up of 2025 | Nature Computational Science

    Cover runners-up of 2025 | Nature Computational Science

    We highlight some of our favorite cover suggestions from 2025.

    We continue our yearly tradition of highlighting our favorite author-suggested covers that were not chosen as Nature Computational Science

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  • Staining normalization in histopathology: Method benchmarking using multicenter dataset

  • Troiano, N. W., Ciovacco, W. A. & Kacena, M. A. The effects of fixation and dehydration on the histological quality of undecalcified murine bone specimens embedded in methylmethacrylate. J. Histotechnol. 32, 27–31 (2009).

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  • Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma

  • Diazzi, S., Tartare-Deckert, S. & Deckert, M. The mechanical phenotypic plasticity of melanoma cell: an emerging driver of therapy cross-resistance. Oncogenesis 12, 7 (2023).

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  • Dummer, R. et al….

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  • High-resolution XRF-CS/ICP-MS mineral element data calibration and potential applications in sub-Antarctic peat records

    High-resolution XRF-CS/ICP-MS mineral element data calibration and potential applications in sub-Antarctic peat records

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