Results 141 to 150 of about 332,577 (218)

The Mixed Neutrophilic–Eosinophilic Endotype of CRSwNP Blunts Postsurgical Improvement as Determined by the Completeness of Surgery Index

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background The Completeness of Surgery Index (CoSI) is a novel metric for assessing surgical quality in chronic rhinosinusitis with nasal polyps (CRSwNP). Structured histopathology (SHP) is helpful for characterizing drivers of inflammation. Integrating these two tools to identify patients at higher risk for surgically recalcitrant disease has
Vidit M. Talati   +12 more
wiley   +1 more source

1,2‐propanediol reformulation improves tribromoethanol safety and reveals pontine GABRA1 enrichment as a candidate mechanistic correlate of anesthesia

open access: yesAnimal Models and Experimental Medicine, EarlyView.
This study develops a reformulated tribromoethanol (TBE) anesthetic using 1,2‐propanediol as a solvent to overcome solvent‐related toxicity. The novel formulation demonstrates, cardiovascular stability, and survival in prolonged protocols. It provides potent, dose‐dependent anesthesia without strain or sex differences.
Xia Li   +3 more
wiley   +1 more source

Real‐World Treatment Escalation Patterns of Biologics and Functional Endoscopic Sinus Surgery in Chronic Rhinosinusitis (CRS): A Nationwide Database Study

open access: yes
International Forum of Allergy &Rhinology, EarlyView.
Omer Baker   +4 more
wiley   +1 more source

Morphological and morphometric aspects of the equine aortic valve: New insights for comparative studies in mammals

open access: yesThe Anatomical Record, EarlyView.
Abstract New data on the equine aortic valve obtained using advanced techniques is especially important given the greater availability of animal models for translational research. Here we characterized the morphological and morphometric aspects of the equine aortic valve from 60 healthy hearts collected at equine abattoirs.
Vitor Pires Pereira   +3 more
wiley   +1 more source

Active learning-assisted deep learning for automated maxillary sinus segmentation in dental cone-beam computed tomography. [PDF]

open access: yesJ Dent Sci
Chen H   +9 more
europepmc   +1 more source

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