Artificial Intelligence-Driven Innovations in Oncology Drug Discovery: Transforming Traditional Pipelines and Enhancing Drug Design.
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| Title: | Artificial Intelligence-Driven Innovations in Oncology Drug Discovery: Transforming Traditional Pipelines and Enhancing Drug Design. |
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| Authors: | Albani FG; Department of Biology, Faculty of Science, Princess Nourah bint Abdulrahman University, Al-Riyadh, Saudi Arabia.; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia., Alghamdi SS; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.; College of Pharmacy (COP), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Kingdom of Saudi Arabia.; King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, Riyadh, 11426, Saudi Arabia., Almutairi MM; Pharmacology and Toxicology Department, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia., Alqahtani T; Medical Research Core Facility and Platforms, King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.; College of Pharmacy (COP), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Kingdom of Saudi Arabia.; King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, Riyadh, 11426, Saudi Arabia. |
| Source: | Drug design, development and therapy [Drug Des Devel Ther] 2025 Jul 03; Vol. 19, pp. 5685-5707. Date of Electronic Publication: 2025 Jul 03 (Print Publication: 2025). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Dove Press Limited Country of Publication: New Zealand NLM ID: 101475745 Publication Model: eCollection Cited Medium: Internet ISSN: 1177-8881 (Electronic) Linking ISSN: 11778881 NLM ISO Abbreviation: Drug Des Devel Ther Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1177-8881 |
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| DOI: | 10.2147/DDDT.S509769 |
