Emerging Technologies in Basic and Clinical Breast Cancer Research

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About this Research Topic

Submission deadlines

  1. Manuscript Summary Submission Deadline 12 June 2025 | Manuscript Submission Deadline 30 September 2025

  2. This Research Topic is still accepting articles.

Background

Emerging technologies are revolutionizing both basic research and clinical practice in the field of breast cancer. Innovations such as artificial intelligence (AI), gene editing, liquid biopsies, and big data analytics are providing unprecedented insights and paving the way for potential new treatments. These technologies are not only enhancing our understanding of the molecular and genetic underpinnings of breast cancer but are also contributing to more accurate diagnostics and personalized therapeutic strategies.

This Research Topic aims to explore the transformative potential of emerging technologies in improving the diagnosis, treatment, and overall patient outcomes in breast cancer. By showcasing the latest advancements, we aim to highlight how these technologies can be integrated into clinical practice and research to advance our fight against breast cancer.

We are calling for comprehensive contributions that not only demonstrate current advancements but also predict future trends in the field of breast cancer. We encourage submissions on a wide range of topics, including but not limited to:
● Artificial Intelligence in Diagnosis and Prognosis: We welcome studies that utilize AI for improved imaging analysis, diagnostics, and prognostic predictions in breast cancer, showcasing the potential for AI to revolutionize patient care
● Multidisciplinary Treatment Models: Papers that discuss the integration and outcomes of multidisciplinary approaches (MDT) in clinical settings, providing insights into collaborative treatment strategies
● Precision Oncology: Contributions that detail advances in targeted therapies and personalized medicine, including the use of biomarkers and molecular diagnostics to tailor treatment plans
● Gene Editing for Therapeutic Development: Research on the application of CRISPR and other gene-editing technologies in modifying genetic targets for breast cancer therapy
● Liquid Biopsy Technologies: Studies on the role of liquid biopsies in early detection, disease monitoring, and the potential for non-invasive diagnostic tools in clinical practice
● Nanotechnology in Treatment Delivery: Manuscripts that detail how nanotechnology is being used to enhance drug delivery and the efficacy of treatments, with a focus on innovative pharmaceutical applications
● Big Data and Analytics: Submissions that leverage large datasets to improve understanding of breast cancer epidemiology, treatment responses, and patient outcomes.

We welcome original research articles, review articles, and methodological papers that can contribute to these areas. Each submission should clearly indicate how the work presented advances the field of breast cancer research and treatment, and adhere to the highest standards of research integrity and scientific rigor.

Note to authors: if your manuscript is about the Application of Nanomaterials in the Diagnosis and Treatment of Breast Cancer, please feel free to consider Frontiers in Nanotechnology | Nanomaterials as your targeted journal/section.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Brief Research Report
  • Clinical Trial
  • Editorial
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review
  • Opinion
  • Original Research

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Keywords: Breast Cancer, Artificial Intelligence, Gene Editing, Liquid Biopsy, Big Data

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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