Polymer‐based drug delivery systems can effectively overcome the limitations of free drugs in terms of solubility, stability, and plasma half‐life, yet their development has traditionally relied on time‐consuming trial‐and‐error approaches. This review highlights recent advances in applying molecular simulation to the design of polymer‐based drug ...
Ping Gao +4 more
wiley +1 more source
MONTUR project: Dataset for understanding and forecasting tourist flows. [PDF]
Alderighi M +3 more
europepmc +1 more source
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman +3 more
wiley +1 more source
Invasive and non-invasive variables prediction models for cardiovascular disease-specific mortality between machine learning vs. traditional statistics. [PDF]
Choi S, Oh M, Lee DH, Jee SH, Jeon JY.
europepmc +1 more source
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle +9 more
wiley +1 more source
A comparative evaluation of multiple machine learning approaches for forecasting dengue outbreaks in Bangladesh. [PDF]
Liu B, Hossain MF, Hossain S.
europepmc +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai +8 more
wiley +1 more source
Evaluating machine learning models for post-surgery treatment response assessment in glioblastoma multiforme: a comparative study of gray level co-occurrence matrix (GLCM), curvelet, and combined radiomics features selected by multiple algorithms. [PDF]
Alibabaei S +4 more
europepmc +1 more source
Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li +9 more
wiley +1 more source
Interpreting Supervised Machine Learning Inferences in Population Genomics Using Haplotype Matrix Permutations. [PDF]
Tran LN, Castellano D, Gutenkunst RN.
europepmc +1 more source

