Results 181 to 190 of about 110,263 (245)
ABSTRACT Objective The real‐world evidence on the association between glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) and cancer risk remains limited and mixed. Methods In 2013–2020 national Medicare claims data, we included cancer‐naïve patients with type 2 diabetes (T2D). We identified those who initiated GLP‐1 RA, sodium‐glucose cotransporter 2
Ying Lu +13 more
wiley +1 more source
Abstract Objective Comorbid depression is a significant negative predictor of survival in patients with head and neck cancer (HNC). Prior studies have shown a prevalence of up to 40.1%; however, depression is often underdiagnosed in this patient population. Study Design Retrospective cohort. Setting Single‐institution database.
Sindhura Sridhar +8 more
wiley +1 more source
Abstract The integration of artificial intelligence into pathology is transforming the assessment of histological and immunohistochemical (IHC) slides, offering opportunities to reduce variability and streamline diagnostics. In practical terms, most available tools and research models emulate the diagnostic capabilities of pathologists by detecting ...
Diana Montezuma +11 more
wiley +1 more source
Moderate Diagnostic Yield of Exome Sequencing in Fetal Growth Restriction: Retrospective Insights
ABSTRACT Objective To determine whether invasive genetic testing should be systematically proposed in cases of FGR. Methods Descriptive retrospective study of 159 FGR cases (defined by an estimated fetal growth < 3rd percentile, regardless of Doppler findings) managed at the Toulouse Fetal Medicine Center (TFMC) during 2022–2023.
Maud Langeois +5 more
wiley +1 more source
We developed an ultrasensitive and highly selective biosensor by integrating bio‐functionalized reduced graphene oxide (rGO) electrolyte‐gated transistors (EGTs) and machine learning (ML) to detect miRNAs (miR‐34a, miR‐34b, and miR‐34c) associated with cancer and neurological disorders.
Ana Vitória Ferreira Deleigo +7 more
wiley +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Abstract The rising rate of drug‐related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free‐text coroner reports, leading to delays and information loss when coded into ICD (International Classification of Disease)‐10 classifications.
Arthur J. Funnell +8 more
wiley +1 more source
Diagnostic validation of the 00325 Inadequate Self‐Compassion
Abstract Background Self‐compassion is an essential component of self‐care. Recognizing it as a nursing diagnosis can promote interventions to address Inadequate Self‐Compassion. Aim This study aims to clinically validate the new NANDA‐I diagnosis (00325) Inadequate Self‐Compassion.
Aarón Muñoz‐Devesa +5 more
wiley +1 more source
Abstract Purpose To evaluate the evidence of internal structure validity of the nursing outcome (NO) “Mechanical Ventilation Weaning Response: Adult (0412)” of the NOs classification for critically ill COVID‐19 patients. Methods A methodological study focused on internal structural validation, part of a multicenter study, was carried out in the ...
Aline Batista Maurício +8 more
wiley +1 more source

