Results 111 to 120 of about 102,556 (258)
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Magneto‐X Effects in Magnetic Soft Materials and Their Applications
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang +5 more
wiley +1 more source
Interdisciplinary communication and collaboration as key to improved nutritional care of malnourished older adults across health-care settings - A qualitative study. [PDF]
Verwijs MH +5 more
europepmc +1 more source
Solid‐Like yet Reconfigurable 3D‐Printed Liquid Tubular Wires From Nonconductive Molecules
This work shatters the current reliance of liquid electronics on intrinsically conductive materials by introducing a novel interfacial redox strategy that transforms non‐conductive molecules into high‐performance, 3D liquid tubular wires with solid‐like electrical properties and exceptional reconfigurability. It opens a vast design space for all‐liquid
Yuchen Fu +6 more
wiley +1 more source
ABSTRACT Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption. This study presents a hardware‐level multi‐dimensional encryption paradigm utilizing optoelectronic neuromorphic devices with low energy consumption of 3.3 fJ ...
Bo Sun +3 more
wiley +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Introducción. Existe una especial preocupación por las características de la comunicación en las salas de cirugía, dado el impacto que esta tiene en los resultados tanto en el paciente como en las relaciones entre los diferentes grupos de trabajo que ...
Carlos Sánchez1 +4 more
doaj
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Developing a conceptual framework for interdisciplinary communication, collaboration, and integration: A structured approach. [PDF]
Zhang J +16 more
europepmc +1 more source

