Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
<p>More information about a person's genetic makeup, drug response, multi-omics response, and genomic response is now available leading to a gradual shift towards personalized treatment. Additionally, the promotion of non-animal testing has fueled the computational toxicogenomics as a piv...
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| مؤلفون آخرون: | , , , , , , , , |
| منشور في: |
2023
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| _version_ | 1864513530410041344 |
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| author | Ajay Vikram Singh (204056) |
| author2 | Vaisali Chandrasekar (16904526) Namuna Paudel (17151574) Peter Laux (4471708) Andreas Luch (128337) Donato Gemmati (3110067) Veronica Tisato (318771) Kirti S. Prabhu (4246144) Shahab Uddin (154400) Sarada Prasad Dakua (14151789) |
| author2_role | author author author author author author author author author |
| author_facet | Ajay Vikram Singh (204056) Vaisali Chandrasekar (16904526) Namuna Paudel (17151574) Peter Laux (4471708) Andreas Luch (128337) Donato Gemmati (3110067) Veronica Tisato (318771) Kirti S. Prabhu (4246144) Shahab Uddin (154400) Sarada Prasad Dakua (14151789) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ajay Vikram Singh (204056) Vaisali Chandrasekar (16904526) Namuna Paudel (17151574) Peter Laux (4471708) Andreas Luch (128337) Donato Gemmati (3110067) Veronica Tisato (318771) Kirti S. Prabhu (4246144) Shahab Uddin (154400) Sarada Prasad Dakua (14151789) |
| dc.date.none.fl_str_mv | 2023-07-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.biopha.2023.114784 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Integrative_toxicogenomics_Advancing_precision_medicine_and_toxicology_through_artificial_intelligence_and_OMICs_technology/25018262 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Pharmacology and pharmaceutical sciences Health sciences Health services and systems Information and computing sciences Artificial intelligence Toxicogenomics Personalized medicine Toxicology Artificial Intelligence (AI) Database |
| dc.title.none.fl_str_mv | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>More information about a person's genetic makeup, drug response, multi-omics response, and genomic response is now available leading to a gradual shift towards personalized treatment. Additionally, the promotion of non-animal testing has fueled the computational toxicogenomics as a pivotal part of the next-gen risk assessment paradigm. Artificial Intelligence (AI) has the potential to provid new ways analyzing the patient data and making predictions about treatment outcomes or toxicity. As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. AI can process and integrate a multitude of data including genome data, patient records, clinical data and identify patterns to derive predictive models anticipating clinical outcomes and assessing the risk of any personalized medicine approaches. In this article, we have studied the current trends and future perspectives in personalized medicine & toxicology, the role of toxicogenomics in connecting the two fields, and the impact of AI on personalized medicine & toxicology. In this work, we also study the key challenges and limitations in personalized medicine, toxicogenomics, and AI in order to fully realize their potential.</p><h2>Other Information</h2> <p> Published in: Biomedicine & Pharmacotherapy<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.biopha.2023.114784" target="_blank">https://dx.doi.org/10.1016/j.biopha.2023.114784</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_12e5995327c0c2c28cde46116a4850bc |
| identifier_str_mv | 10.1016/j.biopha.2023.114784 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25018262 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technologyAjay Vikram Singh (204056)Vaisali Chandrasekar (16904526)Namuna Paudel (17151574)Peter Laux (4471708)Andreas Luch (128337)Donato Gemmati (3110067)Veronica Tisato (318771)Kirti S. Prabhu (4246144)Shahab Uddin (154400)Sarada Prasad Dakua (14151789)Biomedical and clinical sciencesClinical sciencesPharmacology and pharmaceutical sciencesHealth sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceToxicogenomicsPersonalized medicineToxicologyArtificial Intelligence (AI)Database<p>More information about a person's genetic makeup, drug response, multi-omics response, and genomic response is now available leading to a gradual shift towards personalized treatment. Additionally, the promotion of non-animal testing has fueled the computational toxicogenomics as a pivotal part of the next-gen risk assessment paradigm. Artificial Intelligence (AI) has the potential to provid new ways analyzing the patient data and making predictions about treatment outcomes or toxicity. As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. AI can process and integrate a multitude of data including genome data, patient records, clinical data and identify patterns to derive predictive models anticipating clinical outcomes and assessing the risk of any personalized medicine approaches. In this article, we have studied the current trends and future perspectives in personalized medicine & toxicology, the role of toxicogenomics in connecting the two fields, and the impact of AI on personalized medicine & toxicology. In this work, we also study the key challenges and limitations in personalized medicine, toxicogenomics, and AI in order to fully realize their potential.</p><h2>Other Information</h2> <p> Published in: Biomedicine & Pharmacotherapy<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.biopha.2023.114784" target="_blank">https://dx.doi.org/10.1016/j.biopha.2023.114784</a></p>2023-07-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.biopha.2023.114784https://figshare.com/articles/journal_contribution/Integrative_toxicogenomics_Advancing_precision_medicine_and_toxicology_through_artificial_intelligence_and_OMICs_technology/25018262CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/250182622023-07-01T00:00:00Z |
| spellingShingle | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology Ajay Vikram Singh (204056) Biomedical and clinical sciences Clinical sciences Pharmacology and pharmaceutical sciences Health sciences Health services and systems Information and computing sciences Artificial intelligence Toxicogenomics Personalized medicine Toxicology Artificial Intelligence (AI) Database |
| status_str | publishedVersion |
| title | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| title_full | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| title_fullStr | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| title_full_unstemmed | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| title_short | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| title_sort | Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology |
| topic | Biomedical and clinical sciences Clinical sciences Pharmacology and pharmaceutical sciences Health sciences Health services and systems Information and computing sciences Artificial intelligence Toxicogenomics Personalized medicine Toxicology Artificial Intelligence (AI) Database |