3D-BIOPRINTING TEXNOLOGIYASIDA DORI YUKLANGAN GIDROGELLARNI SUN'IY NEVRON TARMOQLARI (ANN) YORDAMIDA OPTIMALLASHTIRISH

Mualliflar

  • Yusupova Karina O’razboyevna Sanoat farmatsiyasi fakulteti, sanoat farmatsiyasi yo‘nalishi 309-A guruh talabasi Muallif

;

3D-Bioprinting, Sun'iy neyron tarmoqlari, Reologiya, Sanoat farmatsiyasi.

Abstrak

Tezisda personalizatsiyalangan dori shakllarini 3D-bioprinting usulida ishlab chiqarishda gidrogellarning reologik xususiyatlarini optimallashtirish o'rganilgan. Printer soplosidan gidrogelning aniq dozada chiqishini ta'minlash uchun sun'iy neyron tarmoqlari (ANN) algoritmlari qo'llanilgan. Optimallashtirilgan model 3D bosib chiqarish paytida dori dozasining aniqligini 99 foiz darajada ta'minlash imkonini berdi.

Iqtiboslar

Bawa, P., et al. (2024). 3D-bioprinting of stimuli-responsive hydrogels. Biomaterials, 295, 115-128.

Maddikuri, R., et al. (2025). Application of artificial neural networks in pharmaceutical optimization. Advanced Drug Delivery Reviews, 185, 104-118.

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Nashr qilingan

2026-07-18

Nashr

Jild 5 Nomeri 15 (2026): Zamonaviy dunyoda amaliy fanlar

Bo'lim

Maqolalar

Iqtibos keltirish tartibi

Yusupova, K. (2026). 3D-BIOPRINTING TEXNOLOGIYASIDA DORI YUKLANGAN GIDROGELLARNI SUN’IY NEVRON TARMOQLARI (ANN) YORDAMIDA OPTIMALLASHTIRISH. Zamonaviy Dunyoda Amaliy Fanlar, 5(15), 51. https://www.in-academy.uz/index.php/ZDAF/article/view/54821
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