Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.
Saved in:
| Title: | Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives. |
|---|---|
| Authors: | Shen C; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China., Zhang M; Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510515, China., Lu M; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China., Chang E; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China., Gao Z; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China., Ban W; School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China., Liu Q; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China., Zuo Z; School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China., Jiang C; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.; School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China. |
| Source: | Acta pharmaceutica Sinica. B [Acta Pharm Sin B] 2026 Feb; Vol. 16 (2), pp. 665-685. Date of Electronic Publication: 2025 Dec 10. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101600560 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2211-3835 (Print) Linking ISSN: 22113835 NLM ISO Abbreviation: Acta Pharm Sin B Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41685160 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shen+C%22">Shen C</searchLink>; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Zhang+M%22">Zhang M</searchLink>; Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Lu+M%22">Lu M</searchLink>; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Chang+E%22">Chang E</searchLink>; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Gao+Z%22">Gao Z</searchLink>; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Ban+W%22">Ban W</searchLink>; School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Liu+Q%22">Liu Q</searchLink>; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.<br /><searchLink fieldCode="AU" term="%22Zuo+Z%22">Zuo Z</searchLink>; School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Jiang+C%22">Jiang C</searchLink>; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.; Guangdong Basic Research Center of Excellence for Integrated Traditional and Western Medicine for Qingzhi Diseases, Guangzhou 510515, China.; School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101600560%22">Acta pharmaceutica Sinica. B</searchLink> [Acta Pharm Sin B] 2026 Feb; Vol. 16 (2), pp. 665-685. <i>Date of Electronic Publication: </i>2025 Dec 10. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101600560 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2211-3835 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222113835%22">22113835 </searchLink><i>NLM ISO Abbreviation: </i>Acta Pharm Sin B <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41685160 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.apsb.2025.12.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 665 Titles: – TitleFull: Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shen C – PersonEntity: Name: NameFull: Zhang M – PersonEntity: Name: NameFull: Lu M – PersonEntity: Name: NameFull: Chang E – PersonEntity: Name: NameFull: Gao Z – PersonEntity: Name: NameFull: Ban W – PersonEntity: Name: NameFull: Liu Q – PersonEntity: Name: NameFull: Zuo Z – PersonEntity: Name: NameFull: Jiang C IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Feb Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2211-3835 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: Acta pharmaceutica Sinica. B Type: main |
| ResultId | 1 |