A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application.
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| Title: | A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application. |
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| Authors: | M M; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India., S M; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India., Kate SS; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India., Taneja I; Translational PK/PD and Investigative Toxicology, Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania., Jaiswal S; Certara Predictive Technologies, Simcyp Division, Certara Inc, Radnor, Pennsylvania., Pratap B; Research and Development, Rosemont Pharmaceuticals, Leeds, United Kingdom., Rathi PC; Augmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), Cambridge, United Kingdom., Thakur S; School of Medical Science and Technology, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India., Paul D; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India. Electronic address: davidpaul@niperkolkata.ac.in., Wahajuddin M; Institute of Cancer Therapeutics, School of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Bradford, United Kingdom. Electronic address: m.wahajuddin@bradford.ac.uk. |
| Source: | Drug metabolism and disposition: the biological fate of chemicals [Drug Metab Dispos] 2026 Mar; Vol. 54 (3), pp. 100240. Date of Electronic Publication: 2026 Jan 22. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: American Society for Pharmacology and Experimental Therapeutics, etc.] Country of Publication: Netherlands NLM ID: 9421550 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-009X (Electronic) Linking ISSN: 00909556 NLM ISO Abbreviation: Drug Metab Dispos Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41763192 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22M+M%22">M M</searchLink>; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India.<br /><searchLink fieldCode="AU" term="%22S+M%22">S M</searchLink>; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India.<br /><searchLink fieldCode="AU" term="%22Kate+SS%22">Kate SS</searchLink>; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India.<br /><searchLink fieldCode="AU" term="%22Taneja+I%22">Taneja I</searchLink>; Translational PK/PD and Investigative Toxicology, Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Jaiswal+S%22">Jaiswal S</searchLink>; Certara Predictive Technologies, Simcyp Division, Certara Inc, Radnor, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Pratap+B%22">Pratap B</searchLink>; Research and Development, Rosemont Pharmaceuticals, Leeds, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Rathi+PC%22">Rathi PC</searchLink>; Augmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Thakur+S%22">Thakur S</searchLink>; School of Medical Science and Technology, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India.<br /><searchLink fieldCode="AU" term="%22Paul+D%22">Paul D</searchLink>; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India. Electronic address: davidpaul@niperkolkata.ac.in.<br /><searchLink fieldCode="AU" term="%22Wahajuddin+M%22">Wahajuddin M</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Bradford, United Kingdom. Electronic address: m.wahajuddin@bradford.ac.uk. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229421550%22">Drug metabolism and disposition: the biological fate of chemicals</searchLink> [Drug Metab Dispos] 2026 Mar; Vol. 54 (3), pp. 100240. <i>Date of Electronic Publication: </i>2026 Jan 22. – 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="%22American+Society+for+Pharmacology+and+Experimental+Therapeutics%2C+etc%2E]%22">American Society for Pharmacology and Experimental Therapeutics, etc.] </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9421550 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1521-009X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200909556%22">00909556 </searchLink><i>NLM ISO Abbreviation: </i>Drug Metab Dispos <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41763192 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.dmd.2026.100240 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100240 Titles: – TitleFull: A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: M M – PersonEntity: Name: NameFull: S M – PersonEntity: Name: NameFull: Kate SS – PersonEntity: Name: NameFull: Taneja I – PersonEntity: Name: NameFull: Jaiswal S – PersonEntity: Name: NameFull: Pratap B – PersonEntity: Name: NameFull: Rathi PC – PersonEntity: Name: NameFull: Thakur S – PersonEntity: Name: NameFull: Paul D – PersonEntity: Name: NameFull: Wahajuddin M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1521-009X Numbering: – Type: volume Value: 54 – Type: issue Value: 3 Titles: – TitleFull: Drug metabolism and disposition: the biological fate of chemicals Type: main |
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