Revolutionizing drug formulation development: the increasing impact of machine learning
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 …
expanded across many fields of research including formulation science. At the same time …
Application of machine learning in polymer additive manufacturing: A review
T Nasrin, F Pourkamali‐Anaraki… - Journal of Polymer …, 2024 - Wiley Online Library
Additive manufacturing (AM) is a revolutionary technology that enables production of
intricate structures while minimizing material waste. However, its full potential has yet to be …
intricate structures while minimizing material waste. However, its full potential has yet to be …
Application of ensemble machine learning approach to assess the factors affecting size and polydispersity index of liposomal nanoparticles
Liposome nanoparticles have emerged as promising drug delivery systems due to their
unique properties. Assessing particle size and polydispersity index (PDI) is critical for …
unique properties. Assessing particle size and polydispersity index (PDI) is critical for …
[HTML][HTML] Energy consumption and carbon footprint of 3D printing in pharmaceutical manufacture
Achieving carbon neutrality is seen as an important goal in order to mitigate the effects of
climate change, as carbon dioxide is a major greenhouse gas that contributes to global …
climate change, as carbon dioxide is a major greenhouse gas that contributes to global …
[HTML][HTML] The role of artificial intelligence in generating original scientific research
Artificial intelligence (AI) is a revolutionary technology that is finding wide application across
numerous sectors. Large language models (LLMs) are an emerging subset technology of AI …
numerous sectors. Large language models (LLMs) are an emerging subset technology of AI …
3D printing technology: A new approach for the fabrication of personalized and customized pharmaceuticals
Abstract 3DP is a computer-aided designing with the interesting innovation of prototyping
layer-by-layer, creating 3D articles as digital blueprints to accomplish unequaled …
layer-by-layer, creating 3D articles as digital blueprints to accomplish unequaled …
Progress and opportunities for machine learning in materials and processes of additive manufacturing
In recent years, there has been widespread adoption of machine learning (ML) technologies
to unravel intricate relationships among diverse parameters in various additive …
to unravel intricate relationships among diverse parameters in various additive …
Optimizing nanoliposomal formulations: Assessing factors affecting entrapment efficiency of curcumin-loaded liposomes using machine learning
Background Curcumin faces challenges in clinical applications due to its low bioavailability
and poor water solubility. Liposomes have emerged as a promising delivery system for …
and poor water solubility. Liposomes have emerged as a promising delivery system for …
[HTML][HTML] Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine
Medicines remain ineffective for over 50% of patients due to conventional mass production
methods with fixed drug dosages. Three-dimensional (3D) printing, specifically selective …
methods with fixed drug dosages. Three-dimensional (3D) printing, specifically selective …
Electroactive Polymers for On‐Demand Drug Release
ME Alkahtani, M Elbadawi… - Advanced …, 2024 - Wiley Online Library
Conductive materials have played a significant role in advancing society into the digital era.
Such materials are able to harness the power of electricity and are used to control many …
Such materials are able to harness the power of electricity and are used to control many …