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Hydrogels constructed with functionalized polysaccharides are of interest in a multitude of applications, chiefly the design of therapeutic and regenerative formulations. Tailoring the chemical modification of polysaccharide-based hydrogels to achieve specific drug release properties involves the optimization of many tunable parameters, including (i) the type, degree (χ), and pattern of the functional groups, (ii) the water-polymer ratio, and (iii) the drug payload. To guide the design of modified polysaccharide hydrogels for drug release, we have developed a computational toolbox that predicts the structure and physicochemical properties of acylated chitosan chains, and their impact on the transport of drug molecules. Herein, we present a multiscale coarse-grained model to investigate the structure of networks of chitosan chains modified with acetyl, butanoyl, or heptanoyl moieties, as well as the diffusion of drugs doxorubicin (Dox) and gemcitabine (Gem) through the resulting networks. The model predicts the formation of different network structures, in particular the hydrophobically-driven transition from a uniform to a cluster/channel morphology and the formation of fibers of chitin chains. The model also describes the impact of structural and physicochemical properties on drug transport, which was confirmed experimentally by measuring Dox and Gem diffusion through an ensemble of modified chitosan hydrogels.
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http://dx.doi.org/10.1039/d0sm01243b | DOI Listing |
J Mech Behav Biomed Mater
August 2025
Department of Mechanical Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh. Electronic address:
Polymers with multifunctional capabilities are increasingly important for emerging technologies, particularly in applications requiring electro-responsive behavior. Polyelectrolytes, which are charged polymers, are promising candidates for electrically triggered actuators, artificial muscles, biomedicine, and flexible electronics, where modulation of mechanical properties is crucial for maintaining structural integrity and performance. This study employs molecular dynamics simulations to explore how electric fields influence the mechanical behavior of polyelectrolytes.
View Article and Find Full Text PDFIEEE Trans Emerg Top Comput Intell
April 2025
Fifth Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
Deep learning models are widely used in medical image-guided disease recognition and have achieved outstanding performance. Voxel-based models are typically the default choice for deep learning-based MRI analysis, which require high computational resources and large data volumes, making them inefficient for rapid disease screening. Simultaneously, the existing Alzheimer's disease (AD) recognition model is primarily comprised of Convolutional Neural Network (CNN) structures.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Henan Agricultural Information Data Intelligent Engineering Research Center, Sias University, Zhengzhou, China.
Pests in rice fields not only affect the yield and quality of rice but also cause serious ecological and environmental problems due to the heavy reliance on pesticides. Since various pests have irregular and changeable shapes, small sizes, and complex backgrounds, field rice pest detection is an essential prerequisite and challenge for the precise control of pests in the field. A multiscale aggregated vision MambaU-Net (MAVM-UNet) model for rice pest detection is constructed.
View Article and Find Full Text PDFBiophys J
August 2025
Physical and Life Sciences (PLS) Directorate, Lawrence Livermore National Laboratory, Livermore, California.
To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to further study this complicated relationship between the membrane and associated proteins.
View Article and Find Full Text PDFNeural Netw
August 2025
School of Artificial Intelligence, Jilin University, Changchun, 130015, China; Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, Ministry of Education, China. Electronic address:
Artificial intelligence can assist pathologists in diagnosing histopathology subtypes, enabling precision medicine and improving survival rates. Many approaches employ multi-scale models or combine knowledge to implement subtype diagnosis. However, they fail to identify explicit features most relevant to subtypes adaptively, resulting model relying heavily on extensive annotation.
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