The significance of artificial intelligence in drug delivery system design

P Hassanzadeh, F Atyabi, R Dinarvand - Advanced drug delivery reviews, 2019 - Elsevier
Over the last decade, increasing interest has been attracted towards the application of
artificial intelligence (AI) technology for analyzing and interpreting the biological or genetic …

[PDF][PDF] Artificial intelligence in pharmacy

S Das, R Dey, AK Nayak - Indian J Pharm Educ Res, 2021 - ijper.org
Artificial Intelligence (AI) focuses in producing intelligent modelling, which helps in
imagining knowledge, cracking problems and decision making. Recently, AI plays an …

Preparation and characterization of methylene bisacrylamide crosslinked pectin/acrylamide hydrogels

A Siddiqua, NM Ranjha, S Rehman, H Shoukat… - Polymer Bulletin, 2022 - Springer
By manufacturing a pH-sensitive and biocompatible interpenetrating polymer network
device, the targeting of BCS III drugs in the colon and improving their absorption can be …

Stability evaluation of dump slope using artificial neural network and multiple regression

AK Bharati, A Ray, M Khandelwal, R Rai… - Engineering with …, 2022 - Springer
The present paper focuses on designing an artificial neural network (ANN) model and a
multiple regression analysis (MRA) that could be used to predict factor of safety of dragline …

MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in …

M Sahoo, S Dey, S Sahoo, A Das, A Ray… - Industrial Crops and …, 2023 - Elsevier
The principal bioactive phenolic component of ginger (Zingiber officinale Rosc.) rhizome is 6-
gingerol, which is known to have several sensory and therapeutic properties. Due to its …

Predicting survival of patients with spinal ependymoma using machine learning algorithms with the SEER database

SM Ryu, SH Lee, ES Kim, W Eoh - World neurosurgery, 2019 - Elsevier
Objective This study was conducted to understand the clinical and demographic factors
influencing the overall survival (OS) of patients with spinal ependymoma and to predict the …

[HTML][HTML] Application of machine-learning algorithms for better understanding of tableting properties of lactose co-processed with lipid excipients

J Djuris, S Cirin-Varadjan, I Aleksic, M Djuris, S Cvijic… - Pharmaceutics, 2021 - mdpi.com
Co-processing (CP) provides superior properties to excipients and has become a reliable
option to facilitated formulation and manufacturing of variety of solid dosage forms …

Preparation and characterization of Metformin hydrochloride− Compritol 888 ATO solid dispersion

SC Jagdale, SA Patil, BS Kuchekar… - Journal of Young …, 2011 - Elsevier
Metformin hydrochloride (MET) sustained-release solid dispersions (SD) were prepared by
the solvent evaporation and closed melt method, using compritol 888 ATO as the polymer …

[HTML][HTML] Characteristics of Changes in Sap Flow-Based Transpiration of Poplars, Locust Trees, and Willows and Their Response to Environmental Impact Factors

X Li, J Zhai, M Sun, K Liu, Y Zhao, Y Cao, Y Wang - Forests, 2024 - mdpi.com
The sap flow and transpiration of three typical tree species (poplar, locust tree, and willow) in
Ningxia are crucial for sustaining the ecosystem in the Ningxia Yellow River Irrigation area …

Potential of Raman spectroscopy in facilitating pharmaceutical formulations development–an AI perspective

M Gao, S Liu, J Chen, KC Gordon, F Tian… - International Journal of …, 2021 - Elsevier
Drug development is time-consuming and inherently possesses a high failure rate.
Pharmaceutical formulation development is the bridge that links a new chemical entity …