Results 211 to 220 of about 114,159 (384)

ResMicroDb: a comprehensive database and analysis platform for the human respiratory microbiome. [PDF]

open access: yesNucleic Acids Res
Ji X   +7 more
europepmc   +1 more source

Oropharynx

open access: yes, 2016
Henry Knipe   +2 more
openaire   +1 more source

Intensity-modulated proton beam therapy (IMPT) versus intensity-modulated photon therapy (IMRT) for patients with oropharynx cancer - A case matched analysis.

open access: yesRadiotherapy and Oncology, 2016
P. Blanchard   +18 more
semanticscholar   +1 more source

Preparing Dental Hygiene Students to Care for Patients With Breast Cancer

open access: yes
Journal of Dental Education, EarlyView.
Denise M. Messina, Matthew J. Messina
wiley   +1 more source

Analysis of an Observational Versus Surgical Approach for Pediatric Post‐Tonsillectomy Hemorrhage

open access: yesThe Laryngoscope, EarlyView.
This study compares outcomes of observational versus surgical management of pediatric post‐tonsillectomy hemorrhage. We found that observational management was safe and avoided unnecessary procedures in selected cases. These results support tailoring intervention to exam findings to optimize patient care.
Joshua Verhagen   +4 more
wiley   +1 more source

Is Your Patient Hungry? Screening for Food Insecurity in Dental Education

open access: yes
Journal of Dental Education, EarlyView.
Teresa A. Marshall   +6 more
wiley   +1 more source

BMI, Sex as Predictors of Anterolateral Thigh Free Flap Thickness for Oropharyngeal Reconstructions

open access: yesThe Laryngoscope, EarlyView.
This study evaluated BMI, sex, and their influence on anterolateral thigh free flap (ALTFF) thickness for oral/oropharyngeal reconstruction. Our results showed that BMI strongly correlated with flap thickness, and women had significantly thicker flaps, despite similar BMI.
Ibrahim M. Ibrahim   +4 more
wiley   +1 more source

Machine Learning to Predict Extranodal Extension in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis

open access: yesThe Laryngoscope, EarlyView.
Machine learning algorithms (MLAs) demonstrated significantly higher diagnostic performance than radiologists in detecting extranodal extension (ENE) in head and neck squamous cell carcinoma using CT scans. This meta‐analysis of six studies found that MLAs had a pooled AUC of 0.91, whereas radiologists achieved only 0.65.
Arshbir Aulakh   +7 more
wiley   +1 more source

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