New Insights into the Diagnosis and Treatment of Breast Cancer
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 96
Special Issue Editors
Interests: translational cancer research for developing prognostic and predictive tools to improve cancer patients’ outcome—this is through refining the currently used prognostic and predictive parameters and mining for novel ones for accurate patients’ risk stratification and personalised management
Special Issue Information
Dear Colleagues,
Early diagnosis and effective treatment of breast cancer are key to reducing mortality rates. However, traditional methods for diagnosing and treating breast cancer still have certain limitations. To promote further research in the field of breast cancer, we invite researchers from all over the world to submit research studies on this topic. This journal is dedicated to publishing the latest research findings in the diagnosis and treatment of breast cancer, including the following:
Artificial intelligence-based early diagnosis methods for breast cancer: including early diagnostic methods such as deep learning, machine learning, and image recognition of breast cancer.
Novel strategies for treating breast cancer: including immunotherapy, gene therapy, cell therapy, and innovative applications of targeted therapy.
New drugs: including drug development directed at new targets for breast cancer.
Repurposing existing drugs: exploring new applications of existing drugs in the treatment of breast cancer.
Imaging screening: developing new imaging screening methods for breast cancer to improve early detection rates.
Prognostic prediction: developing new prognostic prediction models for breast cancer to improve treatment effectiveness.
Dr. Mohammed A. Aleskandarany
Dr. Weichung Shia
Guest Editors
Manuscript Submission Information
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Keywords
- Breast cancer
- prognostic
- medical imaging
- chemotherapy
- immunotherapy
- diagnostics
- screening
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