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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Veröffentlicht in:	International journal of molecular sciences 2022-12, Vol.23 (23), p.15382
Hauptverfasser:	Ling, Lloyd, Aldoghachi, Ahmed Faris, Chong, Zhi Xiong, Ho, Wan Yong, Yeap, Swee Keong, Chin, Ren Jie, Soo, Eugene Zhen Xiang, Khor, Jen Feng, Yong, Yoke Leng, Ling, Joan Lucille, Yan, Naing Soe, Ong, Alan Han Kiat
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Biomarkers Biomarkers, Tumor - genetics Biopsy Blood circulation Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - genetics Breast Neoplasms - pathology Cancer screening Cancer therapies Chemotherapy Circulating MicroRNA Female Humans Invasiveness Learning algorithms Machine Learning Mammography Medical prognosis Metastasis MicroRNAs MicroRNAs - genetics miRNA Mortality Plasma Review Survival analysis
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