Results 51 to 60 of about 48,225 (312)
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Sphincter of oddi dysfunction induced by ketamine: A case report
Key Clinical Message Chronic ketamine use can lead to sphincter of oddi dysfunction (SOD), causing various hepatobiliary complications. Recognizing substance abuse history is vital for early detection.
Nava Raj Sharma +6 more
doaj +1 more source
It is difficult to identify fraud, waste, and abuse (FWA) in substance use disorder (SUD) treatment. Insurers use outlier detection models to detect SUD-related FWA but these models require credible benchmarks based on cross-payer claims data.
Sivagaminathan Palani +5 more
doaj +1 more source
Validity of Substances of Abuse Detection in Hair by Biochips Array Technology
Using hair as a biological specimen to analyze drug abuse has been receiving elevated attention during last years because of flexibility of collection procedure and because hair does not autolysis like other body fluids or tissues. Hair testing provides a broad-spectrum detection window after drug exposure than urine testing. Hair analysis has specific
Ahmed R Ragab +8 more
openaire +1 more source
Systematic review of interventions for the secondary prevention and treatment of emotional abuse of children by primary carers [PDF]
Background Emotional abuse (or psychological maltreatment, as it is more commonly called in the US) is an inadequately researched and poorly understood concept, despite increasing awareness about the harm it can cause to children‟s lives.
Sidebotham, Peter +5 more
core
AI impact to Detect Fraud & Substance Abuse
Conventional techniques of inquiry and diagnosis have been transformed by the use of AI in fraud detection and drug usage monitoring. Artificial intelligence-powered systems utilise machine learning, natural language processing, and predictive analytics to identify patterns, anomalies, and hidden hints that could indicate drug addiction or fraud.
openaire +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Background US rates of substance abuse and suicide mortality increased dramatically in recent years, but little is known about how rising rates of drug and alcohol use are associated with suicide.
Julie A Phillips
doaj +1 more source
Cut-off points for screening at-risk drinking by AUDIT-C Korean version at emergency department
Purpose: To reduce problems caused by alcohol drinking, it is necessary to identify those with ‘at-risk drinking’ behavior to maximize therapeutic access or intervention.
Kyung Wan Lee +2 more
doaj +1 more source
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source

