Optimizing nanoliposomal formulations: Assessing factors affecting entrapment efficiency of curcumin-loaded liposomes using machine learning

Benyamin Hoseini; Mahmoud Reza Jaafari; Amin Golabpour; Amir Abbas Momtazi‐Borojeni; Saeid Eslami

doi:10.1016/j.ijpharm.2023.123414

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Optimizing nanoliposomal formulations: Assessing factors affecting entrapment efficiency of curcumin-loaded liposomes using machine learning

Benyamin Hoseini Mahmoud Reza Jaafari Amin Golabpour Amir Abbas Momtazi‐Borojeni Saeid Eslami

Year: 2023 Journal: International Journal of Pharmaceutics Vol: 646 Pages: 123414-123414 Publisher: Elsevier BV

DOI: 10.1016/j.ijpharm.2023.123414

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Keywords:

Dispersity Curcumin Particle size Liposome Dynamic light scattering Sonication Bioavailability Computer science Chemistry Chromatography Materials science Mathematics Biological system Chemical engineering Nanotechnology Bioinformatics Engineering Nanoparticle

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Curcumin's Biomedical Applications

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Medicine

Advancements in Transdermal Drug Delivery

Life Sciences → Pharmacology, Toxicology and Pharmaceutics → Pharmaceutical Science

Proteins in Food Systems

Life Sciences → Agricultural and Biological Sciences → Food Science

Optimizing nanoliposomal formulations: Assessing factors affecting entrapment efficiency of curcumin-loaded liposomes using machine learning

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