Latest AI and machine learning research in bipolar disorder for healthcare professionals.
In this study, a simple and effective method for accurate determination of lithium in brine samples ...
We present a new coating procedure to prepare optical fibre sensors suitable for use with protein an...
Non-segmented MRI brain images are used for the identification of new Magnetic Resonance Imaging (MR...
The pathophysiology of major depressive disorder (MDD) has been explored to be highly associated wit...
Clinical trial efficiency, defined as facilitating patient enrollment, and reducing the time to reac...
Major depressive disorder (MDD) is the most common mental disorder in the present day as all individ...
Postpartum depression (PPD) is a detrimental health condition that affects 12% of new mothers. Despi...
It has been suggested that the relationship between cognitive function and functional outcome in sch...
The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing requirem...
This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (M...
Neuroimaging data driven machine learning based predictive modeling and pattern recognition has been...
OBJECTIVE: Suicide is a priority health problem. Suicide assessment depends on imperfect clinician a...
Pattern classification aims to establish a new approach in personalized treatment. The scope is to t...
To identify the most important parameters associated with cerebral white matter hyperintensities (WM...
The development of novel drugs in response to changing clinical requirements is a complex and costly...
Ambivalence, the simultaneous experience of both positive and negative feelings about one and the sa...
Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to expl...
OBJECTIVE: To familiarize the medical community with the less common adverse effects of lithium on p...
While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this...
To have an objective depression diagnosis, numerous studies based on machine learning and deep learn...
Previous work using logistic regression suggests that cognitive control-related frontoparietal activ...