Latest AI and machine learning research in bipolar disorder for healthcare professionals.
Background: Bipolar disorder (BD) is frequently underdiagnosed, particularly in patients presenting ...
Continuous monitoring of bipolar disorder agitation via voice biomarkers requires disentangling stab...
Automatic depression detection from conversational interactions holds significant promise for scalab...
Background Depressive symptoms among reproductive-aged women represent a major public health concern...
Adaptive behavior requires deciding when to persist and when to disengage under uncertainty and part...
The demand for safe, high-energy-density batteries has spotlighted halide solid-state electrolytes, ...
Transfer learning (TL) and deep ensemble learning (DE) have recently been shown to outperform simple...
Adolescent major depressive disorder (AMDD) is a prevalent and heterogeneous psychiatric condition t...
Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More ...
Online safety fault diagnosis is essential for lithium-ion batteries in electric vehicles(EVs), part...
In rodents, anxiety is characterized by heightened vigilance during low-threat and uncertain situati...
Depression is a severe mental disorder, and reliable identification plays a critical role in early i...
Degradation prognosis for lithium-ion cells requires forecasting the state-of-health (SOH) trajector...
Patients with bipolar depression are at the highest risk for suicidal behavior, comprising ~10% of a...
INTRODUCTION: Cognitively unimpaired (CU) adults show substantial variation in their risk of develop...
Mind-body practices like meditation and yoga, which are widely used to support mental health, involv...
Background. Antenatal depressive symptoms (ADS) are common and underdiagnosed, particularly in low a...
Background: Major depressive disorder (MDD) severely impairs individual health and creates heavy soc...
Functional brain network (FBN) dysconnectivity has been repeatedly reported in bipolar disorder (BD)...
Background: Depression is biologically heterogeneous, and first-episode depression (FED) carries a h...
Predicting the status of Major Depressive Disorder (MDD) from objective, non-invasive methods is an ...