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Current Women`s Health Reviews

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ISSN (Print): 1573-4048
ISSN (Online): 1875-6581

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Review Article

An Updated Review on the Early Detection and Drug Development Targeting Breast Cancer

Author(s): Pervej Alom Barbhuiya*, Shahil Arman, Hrishika Paul, Saikat Sen, Biplab Kumar Dey and Manash Pratim Pathak

Volume 20, Issue 4, 2024

Published on: 04 September, 2023

Article ID: e130723218685 Pages: 14

DOI: 10.2174/1573404820666230713110902

Price: $65

Abstract

Background: Breast cancer is one of the most common types of cancer in women globally, which poses a significant public health threat on a global scale. Continuous updates of the recent development in terms of drug development and diagnosis are the key to decoding the complexity of the location-specific different forms of breast cancer. The aim of this review is to sifter out the current advances and status of drugs, treatments, therapies and technologies related to breast cancer.

Methodology: The authors searched for a number of article sources, and all possible data was collected from different databases like MEDLINE, EMBASE, Pub Med, Web of Science and Google Scholar. to identify recent development in drug development and diagnosis.

Result: After a detailed literature survey, it was found that in drug discovery, a number of new drug candidates for breast cancer have completed clinical trials; in the diagnosis of breast cancer, a number of new technologies like artificial intelligence (AI), smart bra, smart vest, clinical breast exam have developed. It was found that breast self-awareness has immense importance in the early detection of breast cancer, which is par with the accuracy of modern diagnostic tools.

Conclusion: An effort has been made to present all the updated data related to recent drug development, like surveillance status of drugs in clinical trials, diagnosis and social stigma of people with breast cancer recovery. Recent technological advances have led to the development of many devices for the early detection of breast cancer, providing efficacy in line with the diagnostic tools that pave the way for early treatment using effective drug candidates.

Keywords: Breast cancer, drug development, diagnosis, artificial intelligence, social stigma, recurrence.

Graphical Abstract

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