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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

F. Lamers

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Open access Oct 2026

Depressive symptom profiles and risk of cardiometabolic disease incidence.

In continuous analyses, only AES and depression severity were significantly associated with CMD incidence, though effect sizes were comparable across symptom profiles, suggesting a general rather than symptom-specific depression burden on cardiometabolic health risk.

J. Zwiep, Y. Milaneschi, C. Vinkers et al. · 0 citations
Open access Aug 2026

A Delphi-method-based consensus for clinical domains and assessment of the inflammatory subtype of major depressive disorder from the ASPIRE study.

BACKGROUND Elevated inflammatory biomarkers have been consistently associated with a subset of depressive symptoms, particularly atypical and energy-related features, as well as antidepressant treatment resistance. This evidence has supported the definition of an inflammatory subtype of major depressive disorder (ISMDD...

B. Vai, T. Cazzella, C. Monopoli et al. · 1 citation
Open access Sep 2026

Demographic, Lifestyle, and Clinical Factors Associated with Accelerometer-Based Physical Activity in Patients with Head and Neck Cancer: A Prospective Cohort Study.

PURPOSE This study aimed to objectively assess changes in total physical activity (PA) and moderate-to-vigorous physical activity (MVPA) from head and neck cancer (HNC) diagnosis up to two years post-treatment, and to identify demographic, lifestyle, and clinical factors associated with total PA and MVPA levels and the...

Tycho Zuijlen, B. Berendsen, F. Jansen et al. · 0 citations
Open access Sep 2026

Multilingual lexical feature analysis of spoken language for predicting major depression symptom severity.

Depression symptom severity was associated with five lexical features, including reductions in word count measures, use of first-person plural pronouns and positive word frequency, andLexical features and vector embeddings did improve prediction accuracy beyond baseline models.

A. Tokareva, J. Dineley, Z. Firth et al. · 0 citations

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