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Artificial Intelligence and Precision Medicine: A Perspective
Jacek Lorkowski1,2, Oliwia Kolaszyńska3, Mieczysław Pokorski4
1Department of Orthopedics, Traumatology and Sports Medicine, Central Clinical Hospital of the Ministry of Internal Affairs and Administration, Warsaw, Poland. jacek.lorkowski@gmail.com.
Artificial intelligence (AI) and precision medicine are revolutionizing healthcare by integrating multi-omics data for refined medical management. AI facilitates drug discovery and treatment strategies, particularly for emerging diseases like COVID-19.
Area of Science:
- Medical Informatics
- Bioinformatics
- Computational Biology
Background:
- Precision medicine and artificial intelligence (AI) are transforming healthcare paradigms.
- Multi-omics data analysis is crucial for integrating these advanced fields.
- Genetics, oncology, radiology, and infectious diseases (e.g., COVID-19) are key areas of intersection.
Purpose of the Study:
- To explore the synergistic integration of artificial intelligence and precision medicine.
- To highlight the role of multi-omics in advancing medical management.
- To identify current applications and future potential in representative medical fields.
Main Methods:
- Systematic literature search of PubMed and Google Scholar databases up to March 5, 2021.
- Analysis of 1572 identified articles focusing on the intersection of AI and precision medicine.
- Selection of genetics, oncology, radiology, and COVID-19 as representative fields.
Main Results:
- AI represents a significant advancement in the Fourth Industrial Revolution of medicine.
- AI-driven approaches are reshaping traditional diagnostic and treatment methodologies.
- AI-based link prediction models show promise for drug repurposing and identifying novel therapies, especially for widespread diseases like COVID-19.
Conclusions:
- The convergence of AI and precision medicine, underpinned by multi-omics, offers powerful tools for personalized healthcare.
- AI is instrumental in adapting medical practices to rapidly evolving health challenges.
- Future research should focus on leveraging AI for accelerated therapeutic development and improved patient outcomes.
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