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Review
. 2022 Jul 6:13:929736.
doi: 10.3389/fgene.2022.929736. eCollection 2022.

Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine

Habiba Abdelhalim  1 , Asude Berber  1 , Mudassir Lodi  1 , Rihi Jain  1 , Achuth Nair  1 , Anirudh Pappu  1 , Kush Patel  1 , Vignesh Venkat  1 , Cynthia Venkatesan  1 , Raghu Wable  1 , Matthew Dinatale  1 , Allyson Fu  1 , Vikram Iyer  1 , Ishan Kalove  1 , Marc Kleyman  1 , Joseph Koutsoutis  1 , David Menna  1 , Mayank Paliwal  1 , Nishi Patel  1 , Thirth Patel  1 , Zara Rafique  1 , Rothela Samadi  1 , Roshan Varadhan  1 , Shreyas Bolla  1 , Sreya Vadapalli  1 , Zeeshan Ahmed  1   2
Affiliations
Review

Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine

Habiba Abdelhalim et al. Front Genet. .

Abstract

Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well as their multi-omics/genomic data to reach a conclusion regarding how a physician should proceed with a specific treatment. Compared to the symptom-driven approach in medicine, precision medicine considers the critical fact that all patients do not react to the same treatment or medication in the same way. When considering the intersection of traditionally distinct arenas of medicine, that is, artificial intelligence, healthcare, clinical genomics, and pharmacogenomics-what ties them together is their impact on the development of precision medicine as a field and how they each contribute to patient-specific, rather than symptom-specific patient outcomes. This study discusses the impact and integration of these different fields in the scope of precision medicine and how they can be used in preventing and predicting acute or chronic diseases. Additionally, this study also discusses the advantages as well as the current challenges associated with artificial intelligence, healthcare, clinical genomics, and pharmacogenomics.

Keywords: artificial intelligence; clinical-genomics; healthcare; pharmacogenomics; precision medicine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Concept diagram of the artificial intelligence, clinical genomics, pharmacogenomics, and big data approaches in precision medicine.
See this image and copyright information in PMC

References

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