Addictions

Single-molecule localization and diffusivity microscopy reveals dynamic biomolecular organization in living cells.

Single-molecule tracking in living cells measures protein diffusivity but requires sparse imaging, limiting high-density mapping. Here we introduce single-molecule localization and diffusivity microscopy (SMLDM), a deep learning-based approach that accurately estimates single-molecule movement tracks and diffusion coefficients directly from single-frame snapshots, eliminating the need for trajecto...

Development and validation of the Lebanese Social Media Dependency Scale (LSMDS): A cross-sectional study among university students.

BACKGROUND: Social media use has become pervasive among university students worldwide, with growing evidence linking excessive use to negative psychological and academic outcomes. While various scales exist to assess problematic social media use, most have been validated in Western populations, limiting their cultural applicability. This study aimed to develop and validate a culturally appropriate...

Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing.

BACKGROUND: Fatal and non-fatal drug overdoses have evolved into a critical public health crisis, with over a 50% increase in the rate of fatal drug o...

Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have ...

Intelligent virtual agents in psychotherapy: a safety evaluation across high-risk mental health scenarios.

The growing burden of mental illness and limited access to evidence-based psychotherapy have increased interest in artificial intelligence (AI)-driven...

AI-driven quantum chemical exploration of multi-target synthetic opioid analogs for enhanced therapeutic profiles.

EPIMETRIC: A cfDNA Methylation-Based Algorithm for COPD Diagnosis and Stratification.

OBJECTIVE: To develop a blood-based algorithm using cell-free DNA (cfDNA) methylation profiles to diagnose and stratify patients with COPD according t...

An investigation into factors associated with adolescent internet gaming disorder: utilizing machine learning and path analysis model.

With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has become an increasingly serious public health conc...

A relational agent for treating substance use in adults: A randomized controlled trial with a psychoeducational comparator.

BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers associated with traditional treatment. Woebot for ...

In Silico Prediction of Potential Bile Salt Export Pump Inhibitors Using Pharmacophore Models and Consensus Machine Learning.

The ATP-dependent bile salt export pump (BSEP) is a transporter responsible for moving bile salts from hepatocytes into bile canaliculi. Inhibition of...

Calculation and evaluation of the effective withdrawal time of colonoscopy on the basis of internimage.

In silico metabolite prediction and LC-HRMS confirmation for forensic analysis of a fatal case involving novel synthetic opioid N, N-dimethyl etonitazene.

Nitazenes are a class of new psychoactive substances (NPS) belonging to the synthetic opioids. It has potent μ-opioid receptor agonist activity. In th...

Impact of land use on bus driver inattentiveness: Insight into crash risks.

OBJECTIVE: This study examines how roadside land-uses, namely commercial, residential, educational, and recreational establishments located on a typic...

Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness.

Ultrasound is among the most widely used imaging modalities in clinical trials, and yet its dependence on operator skill and equipment settings has hi...

Addressing diagnostic code variability in intimate partner violence surveillance through natural language processing: Evidence from substance use disorder populations.

BACKGROUND: Intimate partner violence (IPV) and substance use disorders (SUDs) represent major public health challenges, yet identifying IPV cases in ...

Creativity in the age of AI: Exploring moderated mediation relationships between AI use, AI dependence, and academic support in higher education.

Artificial intelligence is increasingly being adopted in higher education. However, its usage has created new possibilities and challenges. It has tra...

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...

Classification and stratification of patient pain archetypes following total knee arthroplasty: a machine learning approach.

BACKGROUND: Up to 20% of total knee arthroplasty (TKA) patients experience significant postoperative pain that delays recovery and increases risk of c...

[Comparative observation of analgesic efficacy between liposomal bupivacaine and "cocktail" therapy following artificial intelligence-assisted direct anterior approach total hip arthroplasty: A prospective randomized controlled study].

OBJECTIVE: To compare the analgesic efficacy and safety of liposomal bupivacaine (LB) versus ropivacaine for surgical incision local anesthesia after ...

The promise of injectable hydrogels in dental bone regeneration.

Injectable hydrogels are considered to be a minimally invasive approach for the regeneration of the dental bone, providing a number of benefits over t...