Results 121 to 130 of about 827,746 (374)
Towards Knowledge-based Mining of Mental Disorder Patterns from Textual Data [PDF]
Mental health disorders may cause severe consequences on all the countries' economies and health. For example, the impacts of the COVID-19 pandemic, such as isolation and travel ban, can make us feel depressed. Identifying early signs of mental health disorders is vital. For example, depression may increase an individual's risk of suicide. The state-of-
arxiv
Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis
Leading biological hypotheses propose that biological changes may underlie major depressive disorder onset and relapse/recurrence. Here, we investigate if there is prospective evidence for biomarkers derived from leading theories.
Mitzy Kennis+5 more
semanticscholar +1 more source
This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
Abstract Community violence exposure is prevalent among urban and marginalized adolescents. Although there is strong evidence that community violence exposure is associated with negative consequences, prior studies and theories suggest that these associations may differ as a function of specific characteristics of exposure.
Sarah K. Pittman, Albert D. Farrell
wiley +1 more source
Background: Inflammatory cytokines are associated with the pathophysiology of major depressive disorder (MDD). Nevertheless, whether they are trait or state biomarkers remains unclear.
Christopher Rockson+3 more
doaj +1 more source
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures [PDF]
Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample ...
ENIGMA Major Depressive Disorder working group
core
Interfacial Yield Stress Response in Synthetic Mucin Solutions
The solution rheology of novel synthetic mucins mimicking natural mucin domains is studied. Like many natural mucin solutions, apparent solid‐like rheology is seen. However, no bulk structural features are found to explain it. Interfacial rheology and robust modelling reveal that this arises from molecular associations at the air–water interface ...
Sumit Sunil Kumar+7 more
wiley +1 more source
Abstract This randomized controlled trial examined the impact of The Connection Project, an experiential, relationship‐focused intervention designed to improve school belongingness and decrease symptoms of depression and loneliness among new college students.
Meghan A. Costello+6 more
wiley +1 more source
Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design
Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo+6 more
wiley +1 more source
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source