Editors' highlights: Breast Cancer Awareness Month

To promote the Breast Cancer Awareness Month, Editors from across our hybrid and OA oncology journals have chosen the following articles to highlight the latest advances in breast cancer research.
Editors' highlights: Breast Cancer Awareness Month
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Breast Cancer Awareness Month is an annual campaign held in October to raise awareness about the prevalence of breast cancer and promote early detection, education, and support for individuals affected by this disease.

In recognition of this awareness month, Editors from across our hybrid and OA oncology journals have chosen the following articles to highlight the latest advances in breast cancer research.

Breast Cancer Research

Breast Cancer Research and Treatment

Journal of Mammary Gland Biology and Neoplasia

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Cancer Biology
Life Sciences > Biological Sciences > Cancer Biology

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Methods and Models in Mammary Gland Biology and Breast Cancer Research

Scientific discoveries go hand in hand with our ability to find ways to model phenomena of interest, to experimentally test hypotheses, and to extract information. Therefore, a handful of protocols, inherited from trustworthy seasoned colleagues, together with new or tweaked protocols developed on a trial-error basis as well as new approaches enabled by recent technological advances are an essential part of every scientist’s toolbox. To enable dissemination of protocols as well as discussion on methods, models and techniques used in mammary gland biology and breast cancer research, we are opening this collection of articles. We welcome a wide range of articles, including primary research articles, protocol-based articles, reviews, and perspectives. Potential techniques include but are not limited to cell and tissue culture techniques, image or data analysis tools, animal models and in vivo approaches, high-throughput methods etc.

This collection is associated with the conference “The 14th Annual Workshop of the European Network for Breast Development and Cancer: Methods in Mammary Gland Biology and Breast Cancer”, which will take place on 27-29 April 2023 in Switzerland. Submission to this collection is open to the worldwide scientific community working in the respective field of research. To express your interest to contribute, please contact the Editors of this collection: Zuzana Sumbalova Koledova (koledova@med.muni.cz) and Johanna Englund (johanna.englund@helsinki.fi)

Important dates:

The deadline for abstract submission is the 1st of September 2023. Please send your abstract to the Editor.

The deadline for manuscript submission is the 15th of November 2023.

Publishing Model: Open Access

Deadline: Feb 15, 2024

Artificial Intelligence in Breast Imaging

Artificial intelligence (AI) is becoming integrated into many aspects of our day -to -day life, whether its suggestions on movies we should consider, books we may be interested in reading or apparel that may suit our personal taste. In preclinical research, AI provides tools for rapid and robust evaluation of cancer cell and organoid phenotypes or data from small animal imaging. AI is particularly well suited to radiology where it affords opportunities to enhance the speed, accuracy and quality of image interpretation. Rather than eliminating the need for radiologists anytime soon, AI can serve as a valuable adjunct to them allowing resulting in more dependable interpretations of ever more complex technology used in radiology. However, integration of AI to clinical imaging workflows requires careful evaluation of associated ethical, legal, and regulatory challenges.

In this cross-journal collection, we welcome a wide range of articles on AI in breast imaging, including primary research articles, method-based articles, reviews, and perspectives. To express your interest to contribute, please contact the Editor-in-Chief of the respective journal:

Journal of Mammary Gland Biology and Neoplasia: Zuzana Koledova (koledova@med.muni.cz)

Breast Cancer Research & Treatment: William J. Gradishar (w-gradishar@northwestern.edu)

Breast Cancer Research: Lewis A. Chodosh (chodosh@pennmedicine.upenn.edu)

Publishing Model: Hybrid

Deadline: Ongoing