Clinical-psychological and clinical-psychological peculiarities of patients with alcoholism
Purpose: to study the clinical, psychological and clinical-psychotherapeutic features of patients with alcoholism. Materials and methods: clinical-psychological, clinical-psychopathological and experimental-psychological. Results of the study: comprehensive studies of the personality of patients with alcoholism allow us to study personality changes in ...
G.I. Deretcha+3 more
openaire +2 more sources
Salivary metabolic signatures associated with lung cancer are systematically characterized through a self‐developed high‐throughput mass spectrometry Lab‐on‐a‐Chip platform. Utilizing these metabolic fingerprints, SalivaMLD, an integrated machine‐learning‐driven classification model is developed and demonstrates superior performance in detecting lung ...
Shuang Lin+17 more
wiley +1 more source
Are relationships between impulsivity and depressive symptoms in adolescents sex-dependent?
Introduction: Both depressive symptomology and impulsivity are common during adolescence and are associated with various negative life outcomes. The potential sex-dependent nature of relationships between these constructs needs further exploration in ...
Timothy Regan+2 more
doaj
Comparing the Efficacy of GPT-4 and Chat-GPT in Mental Health Care: A Blind Assessment of Large Language Models for Psychological Support [PDF]
Background: Rapid advancements in natural language processing have led to the development of large language models with the potential to revolutionize mental health care. These models have shown promise in assisting clinicians and providing support to individuals experiencing various psychological challenges. Objective: This study aims to compare the
arxiv
Text Mining Descriptions Of Dreams: aesthetic and clinical efforts [PDF]
Dreams are highly valued in both Freudian psychoanalysis and less conservative clinical traditions. Text mining enables the extraction of meaning from writings in powerful and unexpected ways. In this work, we report methods, uses and results obtained by mining descriptions of dreams.
arxiv
Microneedle Patch for In Situ Neutrophil Monitoring
An in situ chromogenic microneedle patch that achieves daily blood neutrophil monitoring without vascular invasion or laboratory apparatus is developed. The detection ability is well demonstrated in a chemotherapy‐induced neutropenic rat model and can be read out using a mobile phone application.
Ziyi Lu+26 more
wiley +1 more source
A novel “prof” cocktail therapy is designed. It screens antigens, selects personalized antigen panels, engineers optimized CAR‐Vδ1 T cells, and tests in patient‐derived GBM organoids, offering hope for effective CAR‐T drugs against heterogeneous solid tumors. Abstract Various challenges, including tumor heterogeneity and inadequate T cell infiltration,
Guidong Zhu+12 more
wiley +1 more source
Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines [PDF]
Mental health is a critical global public health issue, and psychological support hotlines play a pivotal role in providing mental health assistance and identifying suicide risks at an early stage. However, the emotional expressions conveyed during these calls remain underexplored in current research.
arxiv
A healthcare toilet system is introduced to passively measure defecation behavior. Real‐time data on stool dropping duration, thickness, and a newly defined “eu‐tenesmus” interval show correlations with stool form and gender differences. Results from 45 defecation events reveal a promising method for comprehensive defecation analysis.
Zhiquan Song+16 more
wiley +1 more source
Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations [PDF]
The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia risk in older adults. Our machine learning (ML) models captured facial, acoustic, linguistic, and cardiovascular features from 39 individuals with normal cognition or Mild Cognitive Impairment derived ...
arxiv