Results 51 to 60 of about 2,711,128 (308)
Abstract Background The feasibility of remote perioperative telemonitoring of patient‐generated physiologic health data and patient‐reported outcomes in a high risk complex general and urologic oncology surgery population is evaluated. Methods Complex general surgical/urologic oncology patients wore a pedometer, completed ePROs (electronic patient ...
Laleh G. Melstrom+11 more
wiley +1 more source
Anesthesia in a Patient with Potocki–Lupski Syndrome
Introduction. Potocki–Lupski syndrome (PTLS) is a rare disease caused by the duplication of a small segment of chromosome 17 (17p11.2). The clinical presentation of this syndrome is quite variable and includes hypotonia, failure to thrive, oropharyngeal ...
Songhyun Kim+4 more
doaj +1 more source
Decoding the Molecular Universe -- Workshop Report [PDF]
On August 9-10, 2023, a workshop was convened at the Pacific Northwest National Laboratory (PNNL) in Richland, WA that brought together a group of internationally recognized experts in metabolomics, natural products discovery, chemical ecology, chemical and biological threat assessment, cheminformatics, computational chemistry, cloud computing ...
arxiv
Cartilage-binding antibodies induce pain through immune complex-mediated activation of neurons [PDF]
Rheumatoid arthritis-associated joint pain is frequently observed independent of disease activity, suggesting unidentified pain mechanisms. We demonstrate that antibodies binding to cartilage, specific for collagen type II (CII) or cartilage oligomeric matrix protein (COMP), elicit mechanical hypersensitivity in mice, uncoupled from visual ...
arxiv +1 more source
Postoperative cognitive dysfunction (POCD) remains a challenge with no effective treatments. This study introduces a novel hydrogen‐gene therapy strategy, combining focused ultrasound and siRNA delivery via hydrogen emitters, to repair neuroinflammation in a precise and controlled manner.
Ruonan Zhan+11 more
wiley +1 more source
An approach to study recruitment/derecruitment dynamics in a patient-specific computational model of an injured human lung [PDF]
We present a new approach for physics-based computational modeling of diseased human lungs. Our main object is the development of a model that takes the novel step of incorporating the dynamics of airway recruitment/de-recruitment into an anatomically accurate, spatially resolved model of respiratory system mechanics, and the relation of these dynamics
arxiv
This work introduces wireless‐powered fully implantable spinal cord stimulation (SCS) in freely moving animal models, supporting diverse ethological paradigms. kHz stimulation with real‐time digital programming offers versatile, dynamically optimized therapy. Scalable fabrication ensures high N studies and seamless translation.
Allie J. Widman+11 more
wiley +1 more source
A Full Transformer-based Framework for Automatic Pain Estimation using Videos [PDF]
The automatic estimation of pain is essential in designing an optimal pain management system offering reliable assessment and reducing the suffering of patients. In this study, we present a novel full transformer-based framework consisting of a Transformer in Transformer (TNT) model and a Transformer leveraging cross-attention and self-attention blocks.
arxiv +1 more source
Intratracheal neomycin alters pulmonary microbiota, activating the vagus nerve via lung brain‐derived neurotrophic factor/tropomyosin receptor kinase B (BDNF/TrkB) pathway, further projecting to nucleus of solitary tract (NTS), then dorsal raphe nucleus (DRN), where activated serotoninergic neurons increase brain serotonin, alleviating migraine.
Biying Liu+7 more
wiley +1 more source
Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques [PDF]
Physiological responses to pain have received increasing attention among researchers for developing an automated pain recognition sensing system. Though less explored, Blood Volume Pulse (BVP) is one of the candidate physiological measures that could help objective pain assessment. In this study, we applied machine learning techniques on BVP signals to
arxiv