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[HTML][HTML] Artificial intelligence in pharmaceutical technology and drug delivery design
LK Vora, AD Gholap, K Jetha, RRS Thakur, HK Solanki… - Pharmaceutics, 2023 - mdpi.com
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …
knowledge and provides expedited solutions to complex challenges. Remarkable …
Advances in artificial intelligence in drug delivery and development: A comprehensive review
AD Gholap, MJ Uddin, M Faiyazuddin, A Omri… - Computers in Biology …, 2024 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare
sector, including drug delivery and development. This review explores the current and future …
sector, including drug delivery and development. This review explores the current and future …
[HTML][HTML] Emerging artificial intelligence (AI) technologies used in the development of solid dosage forms
J Jiang, X Ma, D Ouyang, RO Williams III - Pharmaceutics, 2022 - mdpi.com
Artificial Intelligence (AI)-based formulation development is a promising approach for
facilitating the drug product development process. AI is a versatile tool that contains multiple …
facilitating the drug product development process. AI is a versatile tool that contains multiple …
Predicting drug-microbiome interactions with machine learning
LE McCoubrey, S Gaisford, M Orlu, AW Basit - Biotechnology advances, 2022 - Elsevier
Pivotal work in recent years has cast light on the importance of the human microbiome in
maintenance of health and physiological response to drugs. It is now clear that …
maintenance of health and physiological response to drugs. It is now clear that …
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 …
are gaining increased interest in many fields, particularly in pharmaceutical research and …
[HTML][HTML] The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion
Amorphous solid dispersion (ASD) is one of the most important strategies to improve the
solubility and dissolution rate of poorly water-soluble drugs. As a widely used technique to …
solubility and dissolution rate of poorly water-soluble drugs. As a widely used technique to …
Advanced drug delivery technologies for postmenopausal effects
Postmenopause is the 12-month absence of menstrual periods, characterized by decreased
estrogen and progesterone levels, leading to physical and psychological alterations such as …
estrogen and progesterone levels, leading to physical and psychological alterations such as …
Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
J Zaslavsky, P Bannigan, C Allen - Expert Opinion on Drug …, 2023 - Taylor & Francis
Introduction Interest in nanomedicines has surged in recent years due to the critical role they
have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic …
have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic …
Development of in silico methodology for siRNA lipid nanoparticle formulations
Small interfering RNA (siRNA) gene silencing therapy has great potential for treating
multiple diseases. The lipid nanoparticle (LNP) technology for siRNA delivery succussed in …
multiple diseases. The lipid nanoparticle (LNP) technology for siRNA delivery succussed in …
3D bioprinted microparticles: Optimizing loading efficiency using advanced DoE technique and machine learning modeling
J Wang, NH Aghda, J Jiang, AM Habib… - International Journal of …, 2022 - Elsevier
Current microparticle (MP) development still strongly relies on the laborious trial-and-error
approach. Herein, we developed a systemic method to evaluate the significance of MP …
approach. Herein, we developed a systemic method to evaluate the significance of MP …