Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Collections

  • Collection |

    This collection invites research on advancing adaptive precision oncology through systems biology, regulatory networks, digital twins, and agentic AI for continuous patient-specific cancer care.

    Image: © Pakorn Supajitsoontorn / iStock / Getty Images Plus
    Open for submissions
  • Collection |

    This cross-journal collection invites manuscripts that highlight advances across the pediatric cancer spectrum, from disease mechanism to clinical application and long-term outcomes.

    Image: © AMR BO SHANAB/SCIENCE PHOTO LIBRARY/Gettyimages
    Open for submissions
  • Collection |

    This Collection invites research on next-generation AI in drug discovery, including generative models, multimodal data, resistance prediction, and precision oncology applications.

    Image: © Dragon Claws/ iStock / Getty Images Plus
    Open for submissions
  • Collection |

    This Collection will spotlight cutting-edge research and expert perspectives that explore novel diagnostic frameworks, molecular pathogenesis, biomarker discovery, and personalized therapeutic strategies tailored to rare breast cancers.

    Image: SEBASTIAN KAULITZKI/SCIENCE PHOTO LIBRARY / Royalty-free / Stock Illustrations | Breast Cancer
  • Collection |

    Reconstructing DNA molecular structure by network

    Image: Yuichiro Chino/Moment/GettyImages
  • Collection |

    This Collection explores AI agents in oncology, including autonomous and multimodal systems for clinical decision-making, workflow automation, reasoning and their trustworthiness.

    Image: Marco Marca / iStock / Getty Images Plus / Getty Images
  • Collection |

    This collection examines how RNA modifications and structures shape cancer biology, emphasizing molecular mechanisms, emerging technologies, and therapeutic prospects.

    Image: © DrAfter123 / DigitalVision Vectors / Gettyimages
  • Collection |

    In this Collection, we will explore the development, clinical applications, and future potential of AI-based biomarkers in oncology, highlighting how they may complement or even surpass traditional molecular diagnostics.

    Image: © [M] vectorfusionart / Stock.adobe.com

Search

Quick links