Results 111 to 120 of about 41,888 (179)
The aim of this study was to improve the long‐term LL‐37 mouse model and compare the disease manifestations and pathophysiology of short‐term and long‐term LL‐37‐induced rosacea‐like models. The results show that the long‐term LL‐37 induced mouse model provides a practical animal model for further study of the pathological mechanism of severe rosacea ...
Yiling Wu+10 more
wiley +1 more source
COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling. [PDF]
Lin B+5 more
europepmc +1 more source
There are many forms of anabolic steroids, including stanzolo (Winstrol), which are popular for their muscle‐building effects but dangerous to the heart. This present work is aimed at evaluating the pharmacological impact of allacin, a natural attribute obtained from garlic on obstructing cardiac injury in rabbits that received stanzolo.
Mohammed Hayder Asker+3 more
wiley +1 more source
Artificial intelligence (AI) applications are finding use in real‐world neurological settings. Whereas part 1 of this 3‐part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more practical aspects of neurological care.
Matthew Rizzo
wiley +1 more source
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. [PDF]
Bak M, Chin J.
europepmc +1 more source
Objective Neuroimaging is routinely utilized to identify new inflammatory activity in multiple sclerosis (MS). A large language model to classify narrative magnetic resonance imaging reports in the electronic health record (EHR) as discrete data could provide significant benefits for MS research. The objectives of the current study were to develop such
Shane Poole+14 more
wiley +1 more source
Evaluation of an e-learning platform promoting electronic personal health record competence: a pilot trial in older adults. [PDF]
Perotti L+5 more
europepmc +1 more source
Objective Prognostication in patients with disorders of consciousness (DOCs) remains challenging because of heterogeneous etiologies, pathophysiologies and, consequently, highly variable electroencephalograms (EEGs). Here, we use EEG patterns that are well‐characterizable to create a latent map that positions novel EEGs along a continuum. We asses this
Laura Krumm+9 more
wiley +1 more source
Toward Natural Limb Function: A New Era in Prosthetic Innovation
The past decade has witnessed groundbreaking clinical implementation of neuroprosthetic limbs driven by signals from peripheral targets (eg, nerves and muscle) and the brain to restore limb function for individuals with limb loss or impairment. In this review, we highlight recent key clinical trials in peripheral neuroprosthetic interfaces directly ...
Yucheng Tian+4 more
wiley +1 more source