Publications by authors named "K Kuotsu"

A significant area of computer science called artificial intelligence (AI) is successfully applied to the analysis of intricate biological data and the extraction of substantial associations from datasets for a variety of biomedical uses. AI has attracted significant interest in biomedical research due to its features: (i) better patient care through early diagnosis and detection; (ii) enhanced workflow; (iii) lowering medical errors; (v) lowering medical costs; (vi) reducing morbidity and mortality; (vii) enhancing performance; (viii) enhancing precision; and (ix) time efficiency. Quantitative metrics are crucial for evaluating AI implementations, providing insights, enabling informed decisions, and measuring the impact of AI-driven initiatives, thereby enhancing transparency, accountability, and overall impact.

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Tuberose flowers (Calcutta Single variety) valued as ornamentals globally, have short shelf-lives of 8 days at 4 ± 1 °C and are therefore discarded post senescence. Previous investigations from our laboratory have established that a combination treatment using GRAS preservatives [(sucrose (4%) and CaCl (0.02%)]-cum-gamma-irradiation (0.

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Poly (lactic-co-glycolic acid) (PLGA) is a versatile synthetic polymer comprehensively used in the pharmaceutical sector because of its biocompatibility and biodegradability. These benefits lead to its application in the area of nanoparticles (NPs) for drug delivery for over thirty years. This article offers a general study of the different poly (lactic-co-glycolic acid) nanoparticles (PNPs), preparation methods such as emulsification-solvent evaporation, coacervation, emulsification solvent diffusion, dialysis, emulsification reverse salting out, spray drying nanoprecipitation, and supercritical fluid technology, from the methodological point of view.

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The aim was to develop oral site-specific rate-controlled anticancer drug delivery to pacify systemic side-effects and offer effective and safe therapy for colon cancer with compressed dose and duration of treatment. The double emulsion solvent evaporation method was employed. To check functionality, DAPI-staining and in-vivo anticancer study of Ehrlich Ascites Carcinoma bearing mice was tested.

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Objective: The objective of the present study was to develop novel PMV [poly (methacrylic acid-co-vinyl triethoxylsilane)]-coated mesoporous silica nanoparticles (MSN) with improved hypoglycemic effect for oral insulin (INS) delivery.

Methods: MSN was synthesized under acidic condition using Pluronic® P 123 and Tetra ethoxy orthosilane. Surfactant was removed by calcination.

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