Chapter title |
Artificial Intelligence and Precision Medicine: A Perspective.
|
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Chapter number | 652 |
Book title |
Integrative Clinical Research
|
Published in |
Advances in experimental medicine and biology, June 2021
|
DOI | 10.1007/5584_2021_652 |
Pubmed ID | |
Book ISBNs |
978-3-03-099629-1, 978-3-03-099630-7
|
Authors |
Lorkowski, Jacek, Kolaszyńska, Oliwia, Pokorski, Mieczysław, Jacek Lorkowski, Oliwia Kolaszyńska, Mieczysław Pokorski |
Abstract |
This article aims to present how the advanced solutions of artificial intelligence and precision medicine work together to refine medical management. Multi-omics seems the most suitable approach for biological analysis of data on precision medicine and artificial intelligence. We searched PubMed and Google Scholar databases to collect pertinent articles appearing up to 5 March 2021. Genetics, oncology, radiology, and the recent coronavirus disease (COVID-19) pandemic were chosen as representative fields addressing the cross-compliance of artificial intelligence (AI) and precision medicine based on the highest number of articles, topicality, and interconnectedness of the issue. Overall, we identified and perused 1572 articles. AI is a breakthrough that takes part in shaping the Fourth Industrial Revolution in medicine and health care, changing the long-time accepted diagnostic and treatment regimens and approaches. AI-based link prediction models may be outstandingly helpful in the literature search for drug repurposing or finding new therapeutical modalities in rapidly erupting wide-scale diseases such as the recent COVID-19. |
X Demographics
Geographical breakdown
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India | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 3 | 5% |
Unspecified | 2 | 3% |
Researcher | 2 | 3% |
Student > Doctoral Student | 2 | 3% |
Librarian | 1 | 2% |
Other | 2 | 3% |
Unknown | 48 | 80% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 3 | 5% |
Unspecified | 2 | 3% |
Arts and Humanities | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 2 | 3% |
Unknown | 50 | 83% |