Neuron-glia Interaction as a Possible Pathophysiological Mechanism of Bipolar Disorder.
Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.
The impact of machine learning techniques in the study of bipolar disorder: A systematic review.
Differential biomarker signatures in unipolar and bipolar depression: A machine learning approach.
Bullying and psychotic symptoms in youth with bipolar disorder.
Neuroprogression and illness trajectories in bipolar disorder.
Clinical differences between patients with pediatric bipolar disorder with and without a parental history of bipolar disorder.
Risk factors for suicidality in patients with panic disorder: A systematic review and meta-analysis.
Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: an analysis of the ELSA-Brasil study.
The Early Burden of Disability in Individuals With Mood and Other Common Mental Disorders in Ontario, Canada.
Structural and Functional Brain Correlates of Neuroprogression in Bipolar Disorder.
Potential use of text classification tools as signatures of suicidal behavior: A proof-of-concept study using Virginia Woolf's personal writings.
Ethics in the Era of Big Data: Big Data Analytics in Mental Health
Accelerated aging signatures in subjects with schizophrenia and their unaffected siblings
Apresentação da tese