Smart Electrospun Nanofibers for Controlled Oil‐Water Separation
Stimuli‐responsive electrospun nanofibers are reviewed as advanced platforms for controlled oil/water separation. The effects of surface wettability, porous structure, and external stimuli, including pH, temperature, gas, and light, on separation performance are discussed.
Aynaz Sedaghatnia +6 more
wiley +1 more source
3D‐Printed Corneal Substitutes: Materials, Fabrication, and Preclinical Progress
Successful clinical translation of 3D‐printed corneal substitutes relies on the interplay between the bioink properties, cellular component, and the fabrication process. These factors influence the critical properties of the construct, including optical transparency, mechanical stability, suture retention, that ultimately govern long‐term stromal ...
Shadi Moshayedi +4 more
wiley +1 more source
MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network. [PDF]
Hou Z +5 more
europepmc +1 more source
Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald +3 more
wiley +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Micro‐ and nanorobots for targeted thrombolysis. This perspective elaborates on the clinical indication of blood clot disorders and current limitations for treatment. As a novel, alternative solution, micro‐ and nanorobots can be used to treat and break down thrombi.
Joshua M. Mesfin +3 more
wiley +1 more source
Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. [PDF]
He H, Chen G, Tang Z, Chen CY.
europepmc +1 more source
Cell‐Based Biohybrid Micro/Nanorobots for Biotherapy
This review systematically evaluates cell‐based biohybrid micro/nanorobots (CB‐BMRs), highlighting their cell selection criteria, fabrication strategies, and diverse actuation modes. Furthermore, it surveys the promising therapeutic applications of CB‐BMRs in targeted cancer, thrombosis, and inflammation treatments, while comprehensively discussing ...
Lin Wang +11 more
wiley +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism. [PDF]
Hu S, Hu J, Zhang X, Jin S, Xu X.
europepmc +1 more source

