Machine learning directed drug formulation development

P Bannigan, M Aldeghi, Z Bao, F Häse… - Advanced Drug Delivery …, 2021 - Elsevier
Abstract Machine learning (ML) has enabled ground-breaking advances in the healthcare
and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of …

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 …

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 …

Developing oral drug delivery systems using formulation by design: vital precepts, retrospect and prospects

B Singh, R Kapil, M Nandi, N Ahuja - Expert opinion on drug …, 2011 - Taylor & Francis
Introduction: Over the past few decades, the domain of drug formulations has
metamorphosed from the conventional tablets and capsules to advanced and intricate drug …

A quality by design approach in oral extended release drug delivery systems: where we are and where we are going?

AS Sousa, J Serra, C Estevens, R Costa… - Journal of …, 2023 - Springer
Background Oral extended release (ER) delivery systems have quickly gained increasing
importance because of their ability to maintain drug levels in the blood more consistently …

Applications of machine learning in solid oral dosage form development

H Lou, B Lian, MJ Hageman - Journal of Pharmaceutical Sciences, 2021 - Elsevier
This review comprehensively summarizes the application of machine learning in solid oral
dosage form development over the past three decades. In both academia and industry …

[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 …

Development of liposomes using formulation by design: Basics to recent advances

A Jain, P Hurkat, SK Jain - Chemistry and physics of lipids, 2019 - Elsevier
In couple of decennia, optimization tactics for drug delivery systems have been explored
widely employing Design of Experiments (DoE) for desired outcomes to overcome …

Optimization of controlled release nanoparticle formulation of verapamil hydrochloride using artificial neural networks with genetic algorithm and response surface …

Y Li, MR Abbaspour, PV Grootendorst… - European Journal of …, 2015 - Elsevier
This study was performed to optimize the formulation of polymer–lipid hybrid nanoparticles
(PLN) for the delivery of an ionic water-soluble drug, verapamil hydrochloride (VRP) and to …

Optimization and prediction of ibuprofen release from 3D DLP printlets using artificial neural networks

M Madzarevic, D Medarevic, A Vulovic, T Sustersic… - Pharmaceutics, 2019 - mdpi.com
The aim of this work was to investigate effects of the formulation factors on tablet printability
as well as to optimize and predict extended drug release from cross-linked polymeric …