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Relapse Prediction

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Psychiatry

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder: Current Evidence and Future Directions

This review synthesizes recent evidence on machine learning models integrating multimodal data for relapse prediction in MDD, highlighting moderate accuracy driven mainly by clinical risk factors and advocating for dynamic approaches to bet

Oct 31, 2026
Clinical Updates

Gastrointestinal Interoception and Relapse in Anorexia Nervosa: Insights from Behavioral, Neural, and Computational Perspectives

This review synthesizes evidence demonstrating disrupted gastrointestinal interoception in weight-restored anorexia nervosa, linking behavioral and neural disturbances with relapse risk and symptom severity, and highlighting novel mechanist

Sep 25, 2026
Hematology-Oncology

Ethnicity Influences Relapse-Free Survival in Immune-Mediated Thrombotic Thrombocytopenic Purpura

A French study reveals African ancestry significantly increases relapse risk in iTTP patients treated with rituximab. Key risk factors include male sex and prior relapses, with implications for personalized monitoring strategies.

May 9, 2026
Diabetes & Endocrinology

FT3/FT4 Ratio Emerges as a Practical Predictor of Relapse After Antithyroid Drug Withdrawal in Children

In pediatric autoimmune hyperthyroidism, a higher FT3/FT4 ratio predicted relapse after antithyroid drug withdrawal, especially when orbitopathy was present.

Apr 1, 2026
news

Rest-Activity Rhythms as Digital Biomarkers: Predicting Relapse in Major Depressive Disorder via Actigraphy

A landmark one-year actigraphy study reveals that sleep phase variability and daily activity amplitude are significant objective markers for predicting MDD relapse, offering a scalable path toward personalized, preventive psychiatric care.

Feb 21, 2026Sign in to read

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