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3D disordered fibrous network structures (3D-DFNS), such as cytoskeletons, collagen matrices, and spider webs, exhibit remarkable material efficiency, lightweight properties, and mechanical adaptability. Despite their widespread in nature, the integration into engineered materials is limited by the lack of study on their complex architectures. This study addresses the challenge by investigating the structure-property relationships and stability of biomimetic 3D-DFNS using large datasets generated through procedural modeling, coarse-grained molecular dynamics simulations, and machine learning.

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Background: Neuronal structure is disrupted after spinal cord injury (SCI), causing functional impairment. The effectiveness of exercise therapy (ET) in clinical settings for nerve remodeling post-SCI and its underlying mechanisms remain unclear. This study aims to explore the effects and related mechanisms of ET on nerve remodeling in SCI rats.

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Terahertz (THz) radiation has gained attention due to technological advancements, but its biological effects remain unclear. We investigated the impact of 2.3 THz radiation on SK-MEL-28 cells using metabolomic and gene network analysis.

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An ASGP-R-targeting magnetic resonance imaging contrast agent for liver cancer diagnosis.

J Mater Chem B

January 2025

Department of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, Breast Center, Institute of Breast Health Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.

Development of novel Gd-based contrast agents for targeted magnetic resonance imaging (MRI) of liver cancer remains a great challenge. Herein we reported a novel Gd-based MRI contrast agent with improved relaxivity for specifically diagnosing liver cancer. This GSH-responsive macromolecular contrast agent (mCA), POLDGd, was prepared by RAFT polymerization, and its lactic acid moiety could precisely target the ASGP-R surface protein on liver cancer cells, whereas PODGd without the lactic acid moiety was prepared as a control.

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Artificial intelligence in drug development.

Nat Med

January 2025

Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Drug development is a complex and time-consuming endeavor that traditionally relies on the experience of drug developers and trial-and-error experimentation. The advent of artificial intelligence (AI) technologies, particularly emerging large language models and generative AI, is poised to redefine this paradigm. The integration of AI-driven methodologies into the drug development pipeline has already heralded subtle yet meaningful enhancements in both the efficiency and effectiveness of this process.

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