State-of-the-art review of artificial neural networks to predict, characterize and optimize pharmaceutical formulation

S Wang, J Di, D Wang, X Dai, Y Hua, X Gao, A Zheng… - Pharmaceutics, 2022 - mdpi.com
During the development of a pharmaceutical formulation, a powerful tool is needed to extract
the key points from the complicated process parameters and material attributes. Artificial …

The use of computational methods for the development of molecularly imprinted polymers

IA Nicholls, K Golker, GD Olsson, S Suriyanarayanan… - Polymers, 2021 - mdpi.com
Recent years have witnessed a dramatic increase in the use of theoretical and
computational approaches in the study and development of molecular imprinting systems …

Gut microbiota derived trimethylamine N-oxide (TMAO) detection through molecularly imprinted polymer based sensor

G Lakshmi, AK Yadav, N Mehlawat, R Jalandra… - Scientific reports, 2021 - nature.com
Abstract Trimethylamine N-oxide (TMAO), a microbiota-derived metabolite has been
implicated in human health and disease. Its early detection in body fluids has been …

The artificial intelligence-powered new era in pharmaceutical research and development: A review

P Suriyaamporn, B Pamornpathomkul… - AAPS …, 2024 - Springer
Abstract Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL)
are gaining increased interest in many fields, particularly in pharmaceutical research and …

Bees metaheuristic algorithm with the aid of artificial neural networks for optimization of acid red 27 dye adsorption onto novel polypyrrole/SrFe12O19/graphene …

S Ebrahimpoor, V Kiarostami, M Khosravi, M Davallo… - Polymer Bulletin, 2019 - Springer
In this work, the capability of bees-inspired algorithm with the aid of artificial neural networks
(ANN-BA) for optimization of acid red 27 dye removal was studied using polypyrrole/SrFe 12 …

Recent Developments and Applications of Artificial Intelligence in Solid/Liquid Extraction Studies

Q Salamat, ZP Gumus, M Soylak - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Artificial intelligence has great potential in extraction processes, and these technologies
greatly facilitate the transformation of data into meaningful information. This review …

A review of current bioanalytical approaches in sample pretreatment techniques for the determination of antidepressants in biological specimens

S Soares, M Barroso, E Gallardo - Reviews in Analytical Chemistry, 2021 - degruyter.com
Antidepressants are a class of compounds widely used in clinical settings for the treatment
of several diseases. In the last years there has been a considerable increase in their …

All-solid-state potentiometric platforms modified with a multi-walled carbon nanotubes for fluoxetine determination

HSM Abd-Rabboh, H M. Hashem, L MS Al Shagri… - Membranes, 2022 - mdpi.com
Novel cost-effective screen-printed potentiometric platforms for simple, fast, and accurate
assessment of Fluoxetine (FLX) were designed and characterized. The potentiometric …

A novel molecular imprinted polymer layer electrode for enhanced sensitivity electrochemical determination of the antidepressant fluoxetine

M Feroz, IC Lopes, H ur Rehman, S Ata… - Journal of …, 2020 - Elsevier
Fluoxetine is a selective serotonin re-uptake inhibitor (SSRI) drug, widely used to treat
depression, nervous anorexia, autism and bulimia nervosa. The direct electrochemical …

Design of a pseudo stir bar sorptive extraction using graphenized pencil lead as the base of the molecularly imprinted polymer for extraction of nabumetone

R Afsharipour, S Dadfarnia, AMH Shabani… - Spectrochimica Acta Part …, 2020 - Elsevier
Molecularly imprinted polymer (MIP) was synthesized through the coprecipitation method on
the graphene oxide anchored pencil lead as a substrate for the first time and applied as an …