Addressing the Clinical Feasibility of Adopting Circulating miRNA for Breast Cancer Detection, Monitoring and Management with Artificial Intelligence and Machine Learning Platforms

Addressing the Clinical Feasibility of Adopting Circulating miRNA for Breast Cancer Detection, Monitoring and Management with Artificial Intelligence and Machine Learning Platforms

Detecting breast cancer (BC) at the initial stages of progression has always been regarded as a lifesaving intervention. With modern technology, extensive studies have unraveled the complexity of BC, but the current standard practice of early breast cancer screening and clinical management of cancer...

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Bibliographic Details
Main Authors: Lloyd Ling, Ahmed Faris Aldoghachi, Zhi Xiong Chong, Wan Yong Ho, Swee Keong Yeap, Ren Jie Chin, Eugene Zhen Xiang Soo, Jen Feng Khor, Yoke Leng Yong, Joan Lucille Ling, Naing Soe Yan, Alan Han Kiat Ong
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:International Journal of Molecular Sciences
Subjects:
liquid biopsy
circulating miRNA
breast cancer
AI
ML
Online Access:https://www.mdpi.com/1422-0067/23/23/15382

Internet

https://www.mdpi.com/1422-0067/23/23/15382

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