Prescriptions

The Dark Side of Love: Prediction of Digital Intimate Partner Violence and Associated Factors Among University Students Using Machine Learning.

This study aimed to identify key risk factors and predict digital intimate partner violence (DIPV) exposure and perpetration among university students using machine learning (ML) algorithms. A cross-sectional online survey was conducted with 1,764 university students (age range = 18-41 years, M = 20.8; 87.2% female, 12.8% male) selected through snowball sampling from a large public university in T...

Ai-enhanced clinical decision support reduces medication errors and adverse drug events in a multicenter teaching hospital network: A prospective randomized controlled trial.

BACKGROUND: Medication errors remain a leading source of preventable harm in hospitalized patients, contributing to adverse drug events (ADEs), prolonged hospital stay, and avoidable healthcare costs. Although clinical decision support systems (CDSS) integrated with electronic health records (EHRs) have demonstrated potential to reduce prescribing errors, rigorous multicenter randomized evidence f...

A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (bvFTD) including gray matter volume (GMV) similarit...

Considerations about the proliferation of large language model chatbots and youth mental health.

Young people are experiencing worsening mental health and a growing reliance on online tools and services to address mental health difficulties. At th...

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...

Present and Future Post-marketing Drug Safety Assessment in Japan: A PMDA Perspective.

For pharmacovigilance, the Pharmaceuticals and Medical Devices Agency in Japan has utilized real world data (RWD) from multiple sources, including ind...

Comparing ChatGPT-4o and Gemini 1.5 Pro in Adolescent Psychiatric Emergencies: A Real-World Evaluation of AI Support in Suicide Risk Assessment.

ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini 1.5 Pro-in assessing suicide risk and guiding tre...

Generating explainable hypotheses for drug repurposing with graph neural networks.

Biomedical knowledge discovery increasingly relies on computational tools to uncover patterns in complex datasets, yet generating explainable, evidenc...

Matrix-dependent analytical strategies for the detection of drug-infused foods: A comprehensive review.

Drug-infused foods are increasingly encountered in forensic investigations, including drug-facilitated crimes (DFC), chemical submission cases, and th...

The ABCD of AI-Enabled Clinical Reasoning: A Guided Framework to Transform Learner Interactions and Decision Quality.

OBJECTIVE: To evaluate the efficacy of a structured guidance framework articulate, brainstorm and benchmark, critique and customize, and decide and di...

Protein and ligand novelty in drug-target interaction prediction: a dual-encoder fusion strategy for more interpretable and generalizable modeling.

Predicting drug-target interactions (DTIs) is a fundamental task in computational drug discovery, where reliable generalization to novel compounds and...

Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports.

OBJECTIVES: Coronary computed tomography angiography (CCTA) has become a cornerstone in non-invasive CAD diagnosis and risk stratification. To standar...

Monotherapy cancer drug-blind response prediction is limited to intraclass generalization.

Monotherapy cancer drug response prediction (DRP) models predict the response of a cell line to a given drug. Analyzing these models' performance incl...

Machine Learning-Based Prediction of Critical Deterioration in the PICU.

BACKGROUND: Existing PICU early warning systems lack sufficient accuracy and timeliness for effective preparation. Machine learning approaches may imp...

To include or not to include? A prescription from the pharmacy on how to use active learning-assisted screening in systematic reviews.

BACKGROUND: Systematic reviews are essential for evidence-based decision-making, but the screening stage is often labor-intensive and susceptible to h...

Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity.

BACKGROUND: Proteins regulate diverse biological processes through interactions with other molecules, including RNAs. RNA-binding proteins (RBPs) are ...

Are Lemons Fast for People With Autism? Semantic and Perceptual Crossmodal Correspondences in Autism Beyond the Kiki-Bouba Effect.

Attenuated sound-shape matching in the classic Kiki-Bouba effect in autism has already been replicated in several studies, but it remains unclear whet...

Use of AI to Predict and Support Medication Adherence in Patients With Breast Cancer: Systematic Review.

BACKGROUND: Oral medications are commonly used in the treatment of breast cancer (BC), despite high rates of nonadherence. As adherence is fundamental...

Algal Interaction-Mediated Biogenic Volatiles Enable Accurate Algal Bloom Prediction.

Algal volatile organic compounds (AVOCs) act as real-time metabolic signals that enable accurate bloom prediction in single-species systems. However, ...

Designing metaverse interaction systems for the Turkish language enhanced by fine-tuning and retrieval-augmented generation (RAG).

The metaverse refers to a digital environment that enables real-time user interaction through immersive technologies. Recent advancements in deep lear...