ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning. [PDF]
Zhang Z +5 more
europepmc +1 more source
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
Current perspectives and challenges of digital hypertension: artificial intelligence in the management of hypertension. [PDF]
Yin Z, Miao H, Zhou Z, Li X, Zhang Y.
europepmc +1 more source
Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro +8 more
wiley +1 more source
MxDiffusion: A Physics-Aware Maxwell's Law-Guided Diffusion Model Strategy for Inverse Photonic Metasurface Design. [PDF]
Mondal S +4 more
europepmc +1 more source
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He +10 more
wiley +1 more source
Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes. [PDF]
Xue W, Chen J.
europepmc +1 more source
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales +12 more
wiley +1 more source
Machine learning in cancer imaging for enhanced precision in diagnosis and therapy. [PDF]
Chow JCL.
europepmc +1 more source

