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For: Lou H, Lian B, Hageman MJ. Applications of Machine Learning in Solid Oral Dosage Form Development. J Pharm Sci 2021;110:3150-3165. [PMID: 33951418 DOI: 10.1016/j.xphs.2021.04.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 02/07/2023]
Number Cited by Other Article(s)
1
Sousa AS, Serra J, Estevens C, Costa R, Ribeiro AJ. A comparative study of two data-driven modeling approaches to predict drug release from ER matrix tablets. Int J Pharm 2025;671:125230. [PMID: 39826784 DOI: 10.1016/j.ijpharm.2025.125230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Revised: 01/11/2025] [Accepted: 01/14/2025] [Indexed: 01/22/2025]
2
Pathak KA, Kafle P, Vikram A. Deep learning-based defect detection in film-coated tablets using a convolutional neural network. Int J Pharm 2025;671:125220. [PMID: 39832574 DOI: 10.1016/j.ijpharm.2025.125220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 01/06/2025] [Accepted: 01/12/2025] [Indexed: 01/22/2025]
3
Bhojwani HR, Rajnani NP, Hare A, Kurup NS. Integrative computational approaches in pharmaceuticals: Driving innovation in discovery and delivery. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2025;103:349-373. [PMID: 40175049 DOI: 10.1016/bs.apha.2025.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2025]
4
Rui M, Su Y, Tang H, Li Y, Fang N, Ge Y, Feng Q, Feng C. Computational Design and Optimization of Multi-Compound Multivesicular Liposomes for Co-Delivery of Traditional Chinese Medicine Compounds. AAPS PharmSciTech 2025;26:61. [PMID: 39934607 DOI: 10.1208/s12249-025-03042-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 01/08/2025] [Indexed: 02/13/2025]  Open
5
Desai J, Dhameliya P, Patel S. Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study. Drug Dev Ind Pharm 2024;50:995-1007. [PMID: 39648277 DOI: 10.1080/03639045.2024.2434640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 10/23/2024] [Accepted: 11/20/2024] [Indexed: 12/10/2024]
6
Serrano DR, Luciano FC, Anaya BJ, Ongoren B, Kara A, Molina G, Ramirez BI, Sánchez-Guirales SA, Simon JA, Tomietto G, Rapti C, Ruiz HK, Rawat S, Kumar D, Lalatsa A. Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine. Pharmaceutics 2024;16:1328. [PMID: 39458657 PMCID: PMC11510778 DOI: 10.3390/pharmaceutics16101328] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 10/06/2024] [Accepted: 10/10/2024] [Indexed: 10/28/2024]  Open
7
Gamble JF, Al-Obaidi H. Past, Current, and Future: Application of Image Analysis in Small Molecule Pharmaceutical Development. J Pharm Sci 2024;113:3012-3027. [PMID: 39153662 DOI: 10.1016/j.xphs.2024.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/09/2024] [Accepted: 08/09/2024] [Indexed: 08/19/2024]
8
Alamoudi JA. Recent advancements toward the incremsent of drug solubility using environmentally-friendly supercritical CO2: a machine learning perspective. Front Med (Lausanne) 2024;11:1467289. [PMID: 39286644 PMCID: PMC11402729 DOI: 10.3389/fmed.2024.1467289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 08/20/2024] [Indexed: 09/19/2024]  Open
9
Gosavi AA, Nandgude TD, Mishra RK, Puri DB. Exploring the Potential of Artificial Intelligence as a Facilitating Tool for Formulation Development in Fluidized Bed Processor: a Comprehensive Review. AAPS PharmSciTech 2024;25:111. [PMID: 38740666 DOI: 10.1208/s12249-024-02816-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 04/23/2024] [Indexed: 05/16/2024]  Open
10
Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions. Pharmaceutics 2023;15:2153. [PMID: 37631367 PMCID: PMC10458526 DOI: 10.3390/pharmaceutics15082153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023]  Open
11
Vora LK, Gholap AD, Jetha K, Thakur RRS, Solanki HK, Chavda VP. Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design. Pharmaceutics 2023;15:1916. [PMID: 37514102 PMCID: PMC10385763 DOI: 10.3390/pharmaceutics15071916] [Citation(s) in RCA: 193] [Impact Index Per Article: 96.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/28/2023] [Accepted: 07/04/2023] [Indexed: 07/30/2023]  Open
12
Hayashi Y, Noguchi M, Oishi T, Ono T, Okada K, Onuki Y. Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales. Int J Pharm 2023;641:123066. [PMID: 37217121 DOI: 10.1016/j.ijpharm.2023.123066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 05/04/2023] [Accepted: 05/17/2023] [Indexed: 05/24/2023]
13
Data-Driven Prediction of the Formation of Co-Amorphous Systems. Pharmaceutics 2023;15:pharmaceutics15020347. [PMID: 36839668 PMCID: PMC9968185 DOI: 10.3390/pharmaceutics15020347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]  Open
14
Sodeifian G, Usefi MMB. Solubility, Extraction, and Nanoparticles Production in Supercritical Carbon Dioxide: A Mini‐Review. CHEMBIOENG REVIEWS 2022. [DOI: 10.1002/cben.202200020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
15
Ong JJ, Castro BM, Gaisford S, Cabalar P, Basit AW, Pérez G, Goyanes A. Accelerating 3D printing of pharmaceutical products using machine learning. Int J Pharm X 2022;4:100120. [PMID: 35755603 PMCID: PMC9218223 DOI: 10.1016/j.ijpx.2022.100120] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/26/2022] [Accepted: 05/29/2022] [Indexed: 12/11/2022]  Open
16
Sousa AS, Serra J, Estevens C, Costa R, Ribeiro AJ. A quality by design approach in oral extended release drug delivery systems: where we are and where we are going? JOURNAL OF PHARMACEUTICAL INVESTIGATION 2022. [DOI: 10.1007/s40005-022-00603-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
17
Jiang J, Ma X, Ouyang D, Williams RO. Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms. Pharmaceutics 2022;14:2257. [PMID: 36365076 PMCID: PMC9694557 DOI: 10.3390/pharmaceutics14112257] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/11/2022] [Accepted: 10/17/2022] [Indexed: 07/30/2023]  Open
18
Jiang J, Peng HH, Yang Z, Ma X, Sahakijpijarn S, Moon C, Ouyang D, Williams Iii RO. The applications of Machine learning (ML) in designing dry powder for inhalation by using thin-film-freezing technology. Int J Pharm 2022;626:122179. [PMID: 36084876 DOI: 10.1016/j.ijpharm.2022.122179] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 12/19/2022]
19
Maharjan R, Jeong SH. Application of different models to evaluate the key factors of fluidized bed layering granulation and their influence on granule characteristics. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
20
Nagy B, Galata DL, Farkas A, Nagy ZK. Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing-a Review. AAPS J 2022;24:74. [PMID: 35697951 DOI: 10.1208/s12248-022-00706-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/06/2022] [Indexed: 01/22/2023]  Open
21
Wu JX, Balantic E, van den Berg F, Rantanen J, Nissen B, Friderichsen AV. A generalized image analytical algorithm for investigating tablet disintegration. Int J Pharm 2022;623:121847. [PMID: 35643346 DOI: 10.1016/j.ijpharm.2022.121847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 11/24/2022]
22
Trenfield SJ, Awad A, McCoubrey LE, Elbadawi M, Goyanes A, Gaisford S, Basit AW. Advancing pharmacy and healthcare with virtual digital technologies. Adv Drug Deliv Rev 2022;182:114098. [PMID: 34998901 DOI: 10.1016/j.addr.2021.114098] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 02/07/2023]
23
Sadeghi A, Su CH, Khan A, Lutfor Rahman M, Sani Sarjadi M, Sarkar SM. Machine learning simulation of pharmaceutical solubility in supercritical carbon dioxide: Prediction and experimental validation for busulfan drug. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103502] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]  Open
24
Schmitt JM, Baumann JM, Morgen MM. Predicting Spray Dried Dispersion Particle Size Via Machine Learning Regression Methods. Pharm Res 2022;39:3223-3239. [PMID: 35986124 PMCID: PMC9780133 DOI: 10.1007/s11095-022-03370-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/14/2022] [Indexed: 12/27/2022]
25
Disrupting 3D printing of medicines with machine learning. Trends Pharmacol Sci 2021;42:745-757. [PMID: 34238624 DOI: 10.1016/j.tips.2021.06.002] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 06/03/2021] [Accepted: 06/09/2021] [Indexed: 12/11/2022]
26
Đuriš J, Kurćubić I, Ibrić S. Review of machine learning algorithms' application in pharmaceutical technology. ARHIV ZA FARMACIJU 2021. [DOI: 10.5937/arhfarm71-32499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]  Open
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