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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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