Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review
AI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient,...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-03-01
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| Series: | Nano Biomedicine and Engineering |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/NBE.2023.9290043 |
| _version_ | 1797354911130714112 |
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| author | Rahul S. Tade Swapnil N. Jain Janhavi T. Satyavijay Pratham N. Shah Tejaswi D. Bari Tanushri M. Patil Ruhi P. Shah |
| author_facet | Rahul S. Tade Swapnil N. Jain Janhavi T. Satyavijay Pratham N. Shah Tejaswi D. Bari Tanushri M. Patil Ruhi P. Shah |
| author_sort | Rahul S. Tade |
| collection | DOAJ |
| description | AI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient, cost-effective, and capable of delivering personalized medicine to individual patients. Moreover, AI’s potential in disease prevention and outbreak prediction is promising, as it can analyze vast datasets to identify crucial patterns and trends, leading to targeted interventions for combating diseases. In biomedical research, AI has proven highly beneficial, especially in genomics, proteomics, and metabolomics, where it enables researchers to comprehensively analyze complex biological data, uncovering new insights and accelerating scientific discoveries. The impact of AI is also evident in the patient-physician interface, as it enhances diagnostic accuracy and treatment efficiency, ultimately improving patient care. |
| first_indexed | 2024-03-08T13:56:38Z |
| format | Article |
| id | doaj.art-efad65d493e0406396e73320157ae26e |
| institution | Directory Open Access Journal |
| issn | 2150-5578 |
| language | English |
| last_indexed | 2024-03-08T13:56:38Z |
| publishDate | 2024-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Nano Biomedicine and Engineering |
| spelling | doaj.art-efad65d493e0406396e73320157ae26e2024-01-15T14:50:42ZengTsinghua University PressNano Biomedicine and Engineering2150-55782024-03-01161647710.26599/NBE.2023.9290043Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A ReviewRahul S. Tade0Swapnil N. Jain1Janhavi T. Satyavijay2Pratham N. Shah3Tejaswi D. Bari4Tanushri M. Patil5Ruhi P. Shah6Department of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaDepartment of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaDepartment of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaDepartment of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaDepartment of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaDepartment of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaDepartment of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, IndiaAI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient, cost-effective, and capable of delivering personalized medicine to individual patients. Moreover, AI’s potential in disease prevention and outbreak prediction is promising, as it can analyze vast datasets to identify crucial patterns and trends, leading to targeted interventions for combating diseases. In biomedical research, AI has proven highly beneficial, especially in genomics, proteomics, and metabolomics, where it enables researchers to comprehensively analyze complex biological data, uncovering new insights and accelerating scientific discoveries. The impact of AI is also evident in the patient-physician interface, as it enhances diagnostic accuracy and treatment efficiency, ultimately improving patient care.https://www.sciopen.com/article/10.26599/NBE.2023.9290043artificial intelligence (ai)pharmaceutical researchdrug discoveryacademic researchprecision medicinejob market |
| spellingShingle | Rahul S. Tade Swapnil N. Jain Janhavi T. Satyavijay Pratham N. Shah Tejaswi D. Bari Tanushri M. Patil Ruhi P. Shah Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review Nano Biomedicine and Engineering artificial intelligence (ai) pharmaceutical research drug discovery academic research precision medicine job market |
| title | Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review |
| title_full | Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review |
| title_fullStr | Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review |
| title_full_unstemmed | Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review |
| title_short | Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review |
| title_sort | artificial intelligence in the paradigm shift of pharmaceutical sciences a review |
| topic | artificial intelligence (ai) pharmaceutical research drug discovery academic research precision medicine job market |
| url | https://www.sciopen.com/article/10.26599/NBE.2023.9290043 |
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