This study presents a polyanhydride‐based delivery platform for single‐injection, self‐boosting vaccines. The system enables programmable, pulsatile release of diphtheria toxoid with high antigen recovery and is guided by machine learning for tunability. In vivo results show immune responses comparable to multi‐dose regimens, highlighting its potential
Linzixuan Zhang+17 more
wiley +1 more source
Leveraging deep neural network and language models for predicting long-term hospitalization risk in schizophrenia. [PDF]
Bao Y+6 more
europepmc +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source
Deep neural network-enabled dual-functional wideband absorbers. [PDF]
Li J+6 more
europepmc +1 more source
The Rise of Mechanobiology for Advanced Cell Engineering and Manufacturing
With the growing demand for cell‐based therapies, efficient cellular engineering is crucial. This review calls for greater recognition of mechanobiology principles applied through advanced biomaterial designs, mechanical confinement, and highlights recent advances using micro/nanotechnologies to enhance cell manufacturing.
Huan Ting Ong+8 more
wiley +1 more source
A novel deep neural network structure for software fault prediction. [PDF]
Modanlou Jouybari M+3 more
europepmc +1 more source
Toward Zero‐Excess Alkali Metal Batteries: Bridging Experimental and Computational Insights
This review explores zero‐excess alkali metal batteries, highlighting anode–electrolyte interfaces, metal nucleation, dendrite growth, and SEI formation while comparing Li, Na, and K metals. It critically examines electrolyte and separator roles, emphasizing substrate design, electrolyte modifications, interfacial engineering, and solid‐state ...
Pan He+6 more
wiley +1 more source
Retraction: Application of deep neural network and deep reinforcement learning in wireless communication. [PDF]
PLOS ONE Editors.
europepmc +1 more source
Designing Physical Unclonable Functions From Optically Active Materials
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen+2 more
wiley +1 more source
Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model. [PDF]
Naguib M, Chen J, Kollmeyer P, Emadi A.
europepmc +1 more source