WavRX: A Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model

Information Science, Computer Science, Artificial Intelligence, Medicine, Respiratory System, Environmental and Public Health, Psychiatry, Neurology, Oncology,
speech health diagnostics   disease-agnostic   privacy-preserving   generalizability   health embeddings   modulation dynamics   pathological speech  

New Breakthrough in Disease-Agnostic Remote Speech Health Diagnostic Models—An Interpretation of “wavrx: a disease-agnostic, generalizable, and privacy-preserving speech health diagnostic model” 1. Research Background and Introduction With the ongoing rise in demand for telemedicine and health management, realizing real-time, non-invasive, and auto...

Dynorphin Modulates Reward-Seeking Actions Through a Pallido-Amygdala Cholinergic Circuit

Medicine, Psychiatry, Neurology, Life Sciences,
Dynorphin   Reward-Seeking   Cholinergic Circuit   Ventral Pallidum   Amygdala   Neuromodulation   Learning  

Dynorphin is an endogenous opioid peptide that primarily acts through κ-opioid receptors (KOR) and is widely involved in the regulation of various behaviors, including reward and aversive responses. However, the specific mechanisms of Dynorphin/KOR signaling in reward-seeking behaviors remain unclear. Previous research has predominantly focused on ...

Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Medicine, Psychiatry, Neurology, Medical Imaging,
classification biomarker   pipeline   generalization   fMRI   multi-site dataset   major depressive disorder  

Background Introduction The field of psychiatry has long relied on symptoms and medical interviews for diagnosis, lacking objective biomarkers. Resting-state functional magnetic resonance imaging (rs-fMRI) is widely believed to reveal characteristic patterns of brain structure and function, thereby providing potential classification markers for the...

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Information Science, Artificial Intelligence, Medicine, Psychiatry, Medical Imaging, Life Sciences, Bioengineering,
anxiety disorder   hypergraph neural network   multimodal data   subspace enhancement   biomarker  

Anxiety Disorder Identification and Biomarker Detection Based on Subspace-Enhanced Hypergraph Neural Network Academic Background Anxiety Disorders (ADs) are prevalent mental health issues globally, affecting approximately 7.3% of the population. Patients with anxiety disorders typically exhibit excessive fear, worry, and related behavioral abnormal...

Discussing Expected Long-Term Quality of Life in the ICU: Effect on Experiences and Outcomes of Patients, Family, and Clinicians—A Randomized Clinical Trial

Medicine, Nursing, Emergency Medicine, Psychiatry, Clinical Psychology,
critical care outcomes   shared decision-making   quality of life   prediction model   ICU   depression symptoms   clinician collaboration  

The Impact of Discussing Long-Term Quality of Life Predictions in the ICU on Patients, Families, and Healthcare Professionals Academic Background Patients discharged from the Intensive Care Unit (ICU) often face a range of physical, psychological, and cognitive issues, collectively referred to as Post-Intensive Care Syndrome (PICS). Despite improve...