Revolutionizing Healthcare: Synergistic Integration of Genomics, Clinical Decision Support Systems, and Advanced Machine Learning for Precision Medicine

被引:0
作者
Das, Samarendra [1 ]
Roy, Ranjali [1 ]
Sarkar, Anusreya [1 ]
Bose, Rajesh [1 ]
Sarkar, Indranil [2 ]
Roy, Sandip [1 ]
机构
[1] JIS Univ, Dept CSE, Kolkata, India
[2] Guru Nanak Inst Technol, Dept CSE, Kolkata, India
来源
2025 AI-DRIVEN SMART HEALTHCARE FOR SOCIETY 5.0 | 2025年
关键词
Precision Medicine; Genomics; Clinical Decision Support Systems (CDSS); Machine Learning; Deep Learning; Personalized Healthcare;
D O I
10.1109/IEEECONF64992.2025.10963134
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Precision medicine is a groundbreaking paradigm in healthcare, aiming to customize medical treatment by integrating unique genetic, clinical, and lifestyle attributes of individual patients. This research explores the synergistic application of genomics, clinical decision support systems (CDSS), machine learning, and deep learning in precision medicine. This amalgamation of cutting-edge technologies presents an unprecedented opportunity to provide highly accurate, personalized, and efficient medical interventions. By leveraging genomics, CDSS, and advanced machine learning, this transformative approach has the potential to revolutionize medical practices, allowing healthcare providers to deliver meticulously tailored treatments. The result is enhanced patient outcomes with minimized adverse effects. The innovative use of these tools signifies a profound paradigm shift in healthcare, fostering more effective and patient-centered care. This research holds the promise of significantly improving the overall quality of healthcare delivery, marking a crucial advancement in the pursuit of precision medicine's potential to reshape the landscape of personalized healthcare.
引用
收藏
页码:176 / 181
页数:6
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