Revolutionizing drug formulation development: The increasing impact of machine learning

Z Bao, J Bufton, RJ Hickman, A Aspuru-Guzik… - Advanced Drug Delivery …, 2023 - Elsevier
Over the past few years, the adoption of machine learning (ML) techniques has rapidly
expanded across many fields of research including formulation science. At the same time …

Strategies to reduce the risks of mRNA drug and vaccine toxicity

D Bitounis, E Jacquinet, MA Rogers… - Nature Reviews Drug …, 2024 - nature.com
Abstract mRNA formulated with lipid nanoparticles is a transformative technology that has
enabled the rapid development and administration of billions of coronavirus disease 2019 …

AI-driven Predictive Analytics for Drug Stability Studies

SR Tummala, N Gorrepati - Journal of Pharma Insights and Research, 2024 - jopir.in
Drug stability studies play a pivotal role in ensuring the safety, efficacy, and quality of
pharmaceutical products throughout their shelf life. The advent of artificial intelligence (AI) …

Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects

V Srivastava, B Parveen, R Parveen - Current Drug …, 2023 - ingentaconnect.com
Artificial Intelligence (AI) has emerged as a powerful tool in various domains, and the field of
drug formulation and development is no exception. This review article aims to provide an …

[HTML][HTML] A perspective on 3D printing in the medical field

A Boretti - Annals of 3D Printed Medicine, 2024 - Elsevier
The work proposes a perspective on 3D printing in the medical field. The current core
applications, which are primarily bioprinting, models in surgery preparation, surgical …

Combined helical-blade-strengthened co-flow focusing and high-throughput screening for the synthesis of highly homogeneous nanoliposomes

H Wang, Z Lan, R Tian, X Liang, F Jia, M Ma, H Chen - Nano Today, 2024 - Elsevier
Nanoliposomes have been widely employed as promising drug delivery vehicles for the
treatment of various diseases. However, the large-scale synthesis of drug-loaded …

[HTML][HTML] Artificial neural network modelling hydrodenticity for optimal design by microfluidics of polymer nanoparticles to apply in magnetic resonance imaging

A Smeraldo, AM Ponsiglione, PA Netti, E Torino - Acta Biomaterialia, 2023 - Elsevier
The engineering of nanoparticles impacts the control of their nano-bio interactions at each
level of the delivery pathway. Therefore, optimal nanoparticle physicochemical properties …

Exploiting Nanotechnology for Drug Delivery: Advancing the Anti-Cancer Effects of Autophagy-Modulating Compounds in Traditional Chinese Medicine

Z Liu, T Lu, R Qian, Z Wang, R Qi… - International Journal of …, 2024 - Taylor & Francis
Background Cancer continues to be a prominent issue in the field of medicine, as
demonstrated by recent studies emphasizing the significant role of autophagy in the …

[HTML][HTML] Open Library of Bioscience

D Bitounis, E Jacquinet, MA Rogers, MM Amiji - Strategies, 2024 - ngdc.cncb.ac.cn
mRNA formulated with lipid nanoparticles is a transformative technology that has enabled
the rapid development and administration of billions of coronavirus disease 2019 (COVID …

Artificial Intelligence (AI) and Machine Learning: The Future of Information Technology and Information Systems

AA Mahmudi, I Ramadhani - Information Technology Studies …, 2024 - journal.ppipbr.com
In the context of data and information management in large organizations, the integration of
Artificial Intelligence (AI) and Machine Learning (ML) technology is an interesting research …