ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss +9 more
wiley +1 more source
Improving the management of medical emergency team calls due to suspected infections: A before-after study. [PDF]
Ludikhuize J +8 more
europepmc +1 more source
Emergency Medical Teams’ Responses during the West Japan Heavy Rain 2018: J-SPEED Data Analysis [PDF]
Odgerel Chimed-Ochir +10 more
openalex +1 more source
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei +17 more
wiley +1 more source
Achieving Efficiency: Lessons From Four Top-Performing Hospitals [PDF]
Synthesizes lessons from case studies of how four hospitals achieved greater efficiency, including pursuing quality and access, customizing technology, emphasizing communications, standardizing processes, and integrating care, systems, and ...
Aimee Lashbrook +2 more
core
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
Outcome prediction for patients assessed by the medical emergency team: a retrospective cohort study. [PDF]
Adielsson A +6 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Frequency of borderline personality disorder in suicide patients: A letter to editor [PDF]
Seyyedeh Samin Seyyedfakhri +1 more
doaj +1 more source
Medical emergency team use and outcomes in an Australian private hospital [PDF]
Jonathon Barrett +3 more
openalex +1 more source

