Results 141 to 150 of about 24,859 (295)
Arthritis Care &Research, Accepted Article.Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcomes measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semi‐structured interviews ...
Catherine Nasrallah +13 more
wiley +1 more source
Advanced Functional Materials, EarlyView.By mimicking the ion‐accelerating effect of ion channel receptors in neuron membranes, a biomaterials‐based ionic hydrogel (BIH) is developed, which offers a high ionic conductivity of 7.04 S m−1, outperforming conventional chitosan, cellulose, agarose, starch, and gelatin based ionic hydrogels.
Baojin Chen +7 more
wiley +1 more source
Bioprinting Organs—Science or Fiction?—A Review From Students to Students
Advanced Healthcare Materials, EarlyView.Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu +18 more
wiley +1 more source
Poking Pluripotency: Nanoinjection Into Human iPSCs
Advanced Materials, EarlyView.Nanoinjection into hiPSCs: silicon nanotubes effectively transfect human induced pluripotent stem cells (hiPSCs) with mRNA, enabled by a delayed extracellular matrix application and enhanced surface functionalization. Nanoinjection is demonstrated with several reporter mRNA, including co‐transfection of mCherry and GFP.
Jann Harberts +5 more
wiley +1 more source
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Advanced Materials Technologies, EarlyView.Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye +16 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Advanced Robotics Research, EarlyView.Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
Advanced Science, EarlyView.The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source