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[HTML][HTML] Colonic drug delivery: Formulating the next generation of colon-targeted therapeutics
Colonic drug delivery can facilitate access to unique therapeutic targets and has the
potential to enhance drug bioavailability whilst reducing off-target effects. Delivering drugs to …
potential to enhance drug bioavailability whilst reducing off-target effects. Delivering drugs to …
Machine learning directed drug formulation development
Abstract Machine learning (ML) has enabled ground-breaking advances in the healthcare
and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of …
and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of …
Machine learning models to accelerate the design of polymeric long-acting injectables
Long-acting injectables are considered one of the most promising therapeutic strategies for
the treatment of chronic diseases as they can afford improved therapeutic efficacy, safety …
the treatment of chronic diseases as they can afford improved therapeutic efficacy, safety …
[HTML][HTML] Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
I Salahshoori, M Golriz, MAL Nobre, S Mahdavi… - Journal of Molecular …, 2024 - Elsevier
Efficient drug delivery systems (DDSs) play a pivotal role in ensuring pharmaceuticals'
targeted and effective administration. However, the intricate interplay between drug …
targeted and effective administration. However, the intricate interplay between drug …
An in silico study of sustainable drug pollutants removal using carboxylic acid functionalized-MOF nanostructures (MIL-53 (Al)-(COOH) 2): Towards a greener future
I Salahshoori, MN Jorabchi, S Ghasemi, M Golriz… - Desalination, 2023 - Elsevier
Emerging environmental pollutants have become a major environmental challenge due to
the highly toxic effluents produced by industries. Among these emerging pollutants …
the highly toxic effluents produced by industries. Among these emerging pollutants …
How can machine learning and multiscale modeling benefit ocular drug development?
The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …
drug delivery space, distinctive barriers, and complicated biomechanical processes …
[HTML][HTML] Computer-aided nanodrug discovery: recent progress and future prospects
JJ Zheng, QZ Li, Z Wang, X Wang, Y Zhao… - Chemical Society …, 2024 - pubs.rsc.org
Nanodrugs, which utilise nanomaterials in disease prevention and therapy, have attracted
considerable interest since their initial conceptualisation in the 1990s. Substantial efforts …
considerable interest since their initial conceptualisation in the 1990s. Substantial efforts …
Peptide-based drug delivery systems
Peptide-based drug delivery systems have many advantages when compared to synthetic
systems in that they have better biocompatibility, biochemical and biophysical properties …
systems in that they have better biocompatibility, biochemical and biophysical properties …
Surface functionalization of graphene‐based materials: Biological behavior, toxicology, and safe‐by‐design aspects
The increasing exploitation of graphene‐based materials (GBMs) is driven by their unique
properties and structures, which ignite the imagination of scientists and engineers. At the …
properties and structures, which ignite the imagination of scientists and engineers. At the …
[HTML][HTML] Advancements in molecular simulation for understanding pharmaceutical pollutant Adsorption: A State-of-the-Art review
I Salahshoori, S Mahdavi, Z Moradi, M Otadi… - Journal of Molecular …, 2024 - Elsevier
The contamination of natural water resources by pharmaceutical pollutants has become a
significant environmental concern. Traditional experimental approaches for understanding …
significant environmental concern. Traditional experimental approaches for understanding …