About this Research Topic
This issue will be focused upon the rapidly expanding field of real-world data analysis as it pertains to breast cancer research. Examples of real-world data include data from electronic health records, medical claims, product or disease registries, and information from other sources, such as digital health technologies, that can provide insight into health status.
We welcome the following articles types: original research submissions utilizing real-world databases, review articles summarizing insights gleaned to date from real-world data in breast cancer, articles focusing on methodology related to real-world data (including sequencing/database types, statistical approaches, and data limitations, as well as editorials related to the use of real-world data. These articles should be focused upon breast cancer, but can span the spectrum of disease stages and subtypes.
Pro-RWD editorial, an anti-RWD editorial, reviews on current RWD analysis in breast cancer, reviews/methodology papers on the approach to RWD analysis, and original articles related to RWD in breast cancer.
Please note: Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases which are not accompanied by validation (independent clinical or patient cohort, or biological validation in vitro or in vivo, which are not based on public databases) are not suitable for publication in this journal.
We welcome the following articles types: original research submissions utilizing real-world databases, review articles summarizing insights gleaned to date from real-world data in breast cancer, articles focusing on methodology related to real-world data (including sequencing/database types, statistical approaches, and data limitations, as well as editorials related to the use of real-world data. These articles should be focused upon breast cancer, but can span the spectrum of disease stages and subtypes.
Pro-RWD editorial, an anti-RWD editorial, reviews on current RWD analysis in breast cancer, reviews/methodology papers on the approach to RWD analysis, and original articles related to RWD in breast cancer.
Please note: Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases which are not accompanied by validation (independent clinical or patient cohort, or biological validation in vitro or in vivo, which are not based on public databases) are not suitable for publication in this journal.
Keywords: Breast, Cancer, Analysis, Data, Insights
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.
