Latest AI and machine learning research in bipolar disorder for healthcare professionals.
Rational electrolyte design for high-energy-density lithium-ion batteries (LIBs) urgently demands precise and quantitative molecular descriptors of solvation power to enable deep learning (DL)-accelerated screening, yet such descriptors remain lacking. Here, we introduce the electrostatic potential ratio |ESPmin|/ESPmax (ESPratio) as a quantitative descriptor capturing the balance between electron...
BACKGROUND: The therapeutic strategies for bipolar disorder (BD) and unipolar depression (UD) are quite different. However, the majority of patients with BD often present with a depressive episode as their initial symptom and are misdiagnosed as UD. To date, no reliable tool has been able to accurately differentiate BD patients from UD patients. METHODS: The spontaneous brain activity derived from...
BACKGROUND: Cognitive impairment is a core yet treatment-resistant feature of schizophrenia (SZ), and reliable biomarkers predicting cognitive improve...
INTRODUCTION: Recurrent psychiatric hospitalizations in youth are costly and burdensome to patients and families. While postdischarge planning rarely ...
Machine-learned interatomic potentials are developed for C-N-O-Li systems that are relevant to lithium-ion battery anode materials. The training datab...
Handgrip strength (HGS) is a significant biomarker for overall health, offering a simple, cost-effective method for assessing muscle function. Lower H...
BACKGROUND: Major depressive disorder (MDD) and vitiligo often occur together, worsening patient outcomes. However, the shared pathogenic mechanisms r...
The omega sign is a melancholic facial expression, resembling the Greek letter omega "Ω". To study static omega sign (visible full-blown Ω-shaped or v...
Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments are limited in tracking these change...
PURPOSE: Efficiently detecting obstetric outcomes, such as preterm birth or mode of delivery, is crucial for enhancing mother and newborn health. Proa...
BACKGROUND: Sleep problems are among the most prevalent health complaints during adolescence and show a reciprocal relationship with the development o...
BACKGROUND: Depression is a major global public health burden, and environmental pollutants are increasingly associated with depressive symptoms. Vola...
Exposure to trauma and mild traumatic brain injury (mTBI), which often co-occur and can both trigger acute and chronic pathophysiological processes, h...
BACKGROUND: Depression in older adults is often underdiagnosed due to atypical symptom presentation and generational stigma, leading to delayed interv...
Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...
Lithium-ion batteries (LIBs) have rapidly proliferated due to their high energy density, fast charging capability, and long cycle life. However, intri...
Treatment resistance (TR) in major depressive disorder (MDD) affects a substantial minority of patients and is hard to recognize early, delaying inten...
BACKGROUND: Depression is a prevalent mental health disorder and a leading cause of disability worldwide, creating substantial personal and societal b...
Hardware realization of brain-inspired vision critically relies on neuromorphic devices that couple sensing, computation, and adaptive learning, yet s...
The structural and functional connectivity of the brain network is a combination of complex connections and interconnections among neurons of differen...