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Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299079/ https://www.ncbi.nlm.nih.gov/pubmed/35873469 http://dx.doi.org/10.3389/fgene.2022.929736 |
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author | Abdelhalim, Habiba Berber, Asude Lodi, Mudassir Jain, Rihi Nair, Achuth Pappu, Anirudh Patel, Kush Venkat, Vignesh Venkatesan, Cynthia Wable, Raghu Dinatale, Matthew Fu, Allyson Iyer, Vikram Kalove, Ishan Kleyman, Marc Koutsoutis, Joseph Menna, David Paliwal, Mayank Patel, Nishi Patel, Thirth Rafique, Zara Samadi, Rothela Varadhan, Roshan Bolla, Shreyas Vadapalli, Sreya Ahmed, Zeeshan |
author_facet | Abdelhalim, Habiba Berber, Asude Lodi, Mudassir Jain, Rihi Nair, Achuth Pappu, Anirudh Patel, Kush Venkat, Vignesh Venkatesan, Cynthia Wable, Raghu Dinatale, Matthew Fu, Allyson Iyer, Vikram Kalove, Ishan Kleyman, Marc Koutsoutis, Joseph Menna, David Paliwal, Mayank Patel, Nishi Patel, Thirth Rafique, Zara Samadi, Rothela Varadhan, Roshan Bolla, Shreyas Vadapalli, Sreya Ahmed, Zeeshan |
author_sort | Abdelhalim, Habiba |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9299079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92990792022-07-21 Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine Abdelhalim, Habiba Berber, Asude Lodi, Mudassir Jain, Rihi Nair, Achuth Pappu, Anirudh Patel, Kush Venkat, Vignesh Venkatesan, Cynthia Wable, Raghu Dinatale, Matthew Fu, Allyson Iyer, Vikram Kalove, Ishan Kleyman, Marc Koutsoutis, Joseph Menna, David Paliwal, Mayank Patel, Nishi Patel, Thirth Rafique, Zara Samadi, Rothela Varadhan, Roshan Bolla, Shreyas Vadapalli, Sreya Ahmed, Zeeshan Front Genet Genetics 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. Frontiers Media S.A. 2022-07-06 /pmc/articles/PMC9299079/ /pubmed/35873469 http://dx.doi.org/10.3389/fgene.2022.929736 Text en Copyright © 2022 Abdelhalim, Berber, Lodi, Jain, Nair, Pappu, Patel, Venkat, Venkatesan, Wable, Dinatale, Fu, Iyer, Kalove, Kleyman, Koutsoutis, Menna, Paliwal, Patel, Patel, Rafique, Samadi, Varadhan, Bolla, Vadapalli and Ahmed. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Abdelhalim, Habiba Berber, Asude Lodi, Mudassir Jain, Rihi Nair, Achuth Pappu, Anirudh Patel, Kush Venkat, Vignesh Venkatesan, Cynthia Wable, Raghu Dinatale, Matthew Fu, Allyson Iyer, Vikram Kalove, Ishan Kleyman, Marc Koutsoutis, Joseph Menna, David Paliwal, Mayank Patel, Nishi Patel, Thirth Rafique, Zara Samadi, Rothela Varadhan, Roshan Bolla, Shreyas Vadapalli, Sreya Ahmed, Zeeshan Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine |
title | Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine |
title_full | Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine |
title_fullStr | Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine |
title_full_unstemmed | Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine |
title_short | Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine |
title_sort | artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299079/ https://www.ncbi.nlm.nih.gov/pubmed/35873469 http://dx.doi.org/10.3389/fgene.2022.929736 |
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