Results 11 to 20 of about 942 (157)
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis–associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999 to 2021.
Bryant R. England +9 more
wiley +1 more source
Objective This study aims to describe the frequency and timing of physician referrals to physical therapists (PTs) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja +4 more
wiley +1 more source
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
A high‐throughput in vivo mRNA LNP screening platform is developed and employed to screen a large library of 122 mRNA LNPs in vivo for delivery to immune, stromal, and parenchymal cells, identifying promising LNP candidates. A novel small particle flow cytometry‐based protein adsorption analysis method is utilized to interrogate protein corona ...
Alex G. Hamilton +17 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Lactylation‐Driven YTHDC1 Alleviates MASLD by Suppressing PTPN22‐Mediated Dephosphorylation of NLRP3
In MASLD, YTHDC1 undergoes increased lactylation and ubiquitination, reducing its expression. AARS1 mediates lactylation at lysine 565, while disrupted binding to LDHA further promotes lactylation, suppressing YTHDC1. This downregulation enhances PTPN22 mRNA stability, leading to NLRP3 dephosphorylation and activation, which exacerbates inflammation ...
Feng Zhang +16 more
wiley +1 more source
Hydrogen voltage gated channel 1 (HVCN1) is upregulated in microglia of both ALS patients and its mouse model. HVCN1 deficiency enhances microglial migration via suppressing Akt signaling, promotes neurotrophic capacity and motor function, and prolongs survival of the SOD1G93A ALS mice. This study identifies HVCN1 as a novel, promising druggable target
Fan Wang +16 more
wiley +1 more source
Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du +5 more
wiley +1 more source

