Pharmaceutical formulation and manufacturing using particle/powder technology for personalized medicines
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Large datasets can be analyzed and processed by AI algorithms, enabling nanoparticles to dynamically adapt and respond to specific requirements of individual patients.
“Large datasets can be analyzed and processed by AI algorithms, enabling nanoparticles to dynamically adapt and respond to the specific requirements of individual patients.340”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [340]
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- Authors
- Tahara, K.
- Affiliations
- Gifu Pharmaceutical University (JP)
- Corresponding author
- Tahara, Kohei
- ORCID
- Tahara, Kohei
- Venue
- Advanced Powder Technology
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 31
- Issue
- 1
- Pages
- 387-392
- ISSN
- 0921-8831 (ISSN-L)
- OpenAlex
- W2991037649
- Cited by
- 31
- References
- 57
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 2 · 2023: 6 · 2022: 7 · 2021: 3 · 2020: 2
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Powder Technology (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (18K06753)
- Institute of Infection and Immunity
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
- Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Drug Solubulity and Delivery Systems
- Keywords
- particle technology, powder technology, personalized medicine, precision medicine, nanoparticles, drug delivery systems, continuous production, process intensification, on-demand manufacturing, 3D printing, additive manufacturing, artificial intelligence, powder characterization, drug formulation
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