Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487

An Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 2 Issue 5
September-October 2024

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Precision Medicine With Data-driven Approaches: A Framework For Clinical Translation

Author(s) Simranjit Kaur, Rowan Kim, Nisha Javagal, Joseph Calderon, Senia Rodriguez, Nithin Murugan, Kelsang Gyatsho Bhutia, Karan Dhingra, Saloni Verma
Country Canada
Abstract Precision medicine-based approaches differentiate themselves by taking into consideration subpopulation variability (e.g. genetic variations, age, gender, race, addictions). To date, traditional models, such as Trial-and-Error Dosing, Empirical Treatment Guidelines, Statistical and Actuarial Models, Pathophysiological Models, and Clinical Judgment and Experience, have been generalized in healthcare fields. However, more comprehensive and innovative technologies are required besides these conventional modelings, which are subject to various limitations such as low efficiency and incapability of processing complex biological systems. Here we review diverse machine learning (ML) algorithms integrated with big data and omics and its applications in various aspects of precision medicine. ML is the branch of artificial intelligence (AI), which has been rapidly developed and highlighted as a promising method to decrease diagnostic errors and aid clinicians with decision-making in recent decades. We focused on applications of ML models such as support vector machine (SVM), K Nearest Neighbor (KNN) random forest (RF), convolutional neural networks (CNNs) and deep learning in drug toxicity prediction, cardiovascular diseases, neurodegenerative diseases, and cancer therapies within precision medicine and specific benefits and challenges of each. This review provides insights on the wider utilization in clinical environments by recognizing current advantages that are expected to expand the scope of AI-driven methods and issues that need to be addressed for further studies.
Keywords Precision Medicine, Biosensors, Artificial Intelligence, Cancer Therapy
Discipline Biology > Genetics / Molecular
Published In Volume 2, Issue 5, September-October 2024
Published On 2024-09-03
Cite This Precision Medicine With Data-driven Approaches: A Framework For Clinical Translation - Simranjit Kaur, Rowan Kim, Nisha Javagal, Joseph Calderon, Senia Rodriguez, Nithin Murugan, Kelsang Gyatsho Bhutia, Karan Dhingra, Saloni Verma - AIJMR Volume 2, Issue 5, September-October 2024. DOI 10.62127/aijmr.2024.v02i05.1077
DOI https://doi.org/10.62127/aijmr.2024.v02i05.1077
Short DOI https://doi.org/gxxwpm
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