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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

P. Usemann

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Open access Oct 2026

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder.

Importance Early identification of patients at high risk of relapse is key to personalized preventive strategies in major depressive disorder (MDD). However, current predictive models do not adequately account for the multimodal factors contributing to MDD relapse and fail to provide clinically meaningful predictions....

L. Teutenberg, N. Winter, P. Usemann et al. · 0 citations
Open access Sep 2026

The role of social support in transdiagnostic symptom networks in affective and psychotic disorders: a cross-sectional and longitudinal network analysis.

Symptoms and psychosocial factors interact dynamically across affective and psychotic disorders, yet longitudinal evidence remains limited. Building on the network theory of psychopathology, this study conceptualizes mental disorders as systems shaped by symptom-environment interactions. Using data from a two-site Germ...

Rui Tan, F. Stein, L. Teutenberg et al. · 0 citations
Open access Aug 2026

Negative expectations in major depression: Association with brain structure and course of illness.

BACKGROUND Negative expectations towards the future are frequently observed in patients with major depressive disorder (MDD) and linked to less favourable outcomes like worse treatment response and suicidal behaviours. Despite clinical significance, the neurobiological underpinnings of negative expectations remain larg...

Laila Noor, F. Stein, K. Brosch et al. · 0 citations
Open access Sep 2026

Cognitive Reserve as a Stratification Factor for Cognitive Impairment and Disease Progression in Major Depressive Disorder.

The moderating effect of CR on the brain network-cognition association provides a neurobiological rationale for this vulnerability and supports incorporating CR into routine clinical assessment to guide risk stratification and personalized treatment planning.

M. Gruber, Henrike Renaud, M. Mauritz et al. · 0 citations
Open access Aug 2026

From gut to brain: data-driven evidence suggests causal contribution of gut-microbiota to major depressive disorder in humans

This study provides the first data-driven evidence for a potential causal role of gut microbiota in the pathophysiology of depression in humans, and employs state-of-the-art causal inference tools within Judea Pearl's framework.

L. Fehse, A. H. Ribeiro, N. Winter et al. · 0 citations

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