Domestic Violence

Comparative Performance Analysis of AI Engines in Answering American Board of Surgery In-Training Examination Questions: A Multi-Subspecialty Evaluation.

BackgroundThe rapid advancement of artificial intelligence (AI) has led to its increasing applicatio...

A high-throughput screening method for selecting feature SNPs to evaluate breed diversity and infer ancestry.

As the scale of deep whole-genome sequencing (WGS) data has grown exponentially, hundreds of million...

A machine learning-based screening model for the early detection of prostate cancer developed using serum microRNA data from a mixed cohort of 8,741 participants.

OBJECTIVE: Early detection of prostate cancer (PCa) can improve the prognosis of patients. Currently...

Machine Learning-Assisted Iterative Screening for Efficient Detection of Drug Discovery Starting Points.

High-throughput screening (HTS) remains central to small molecule lead discovery, but increasing ass...

Harnessing AlphaFold to reveal hERG channel conformational state secrets.

To design safe, selective, and effective new therapies, there must be a deep understanding of the st...

Modification and applications of glucose oxidase: optimization strategies and high-throughput screening technologies.

Glucose oxidase (GOD), an oxidoreductase (EC 1.1.3.4), catalyzes the oxidation of β-D-glucose to glu...

Deep Learning Photo Processing for Periodontitis Screening.

Late detection of periodontitis has significant health implications. Screening via oral images may s...

Machine Learning-Assisted Multimodal Early Screening of Lung Cancer Based on a Multiplexed Laser-Induced Graphene Immunosensor.

Lung cancer remains the leading cause of cancer-related mortality worldwide, largely due to late-sta...

Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.

Trauma has become a major cause of increased morbidity and mortality worldwide. In emergency respons...

Screening and investigating the regulatory mechanisms of oxidative stress-related biomarkers in thoracic aortic aneurysms.

Excess reactive oxygen species leading to oxidative stress has been identified as a significant fact...

Theory-based chatbot for promoting colorectal cancer screening in a community setting in Hong Kong: study protocol of a randomised controlled trial.

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of ...

Identification of neural crest and melanoma cancer cell invasion and migration genes using high-throughput screening and deep attention networks.

BACKGROUND: Cell migration and invasion are well-coordinated in development and disease but remain p...

Artificial Intelligence for Low-Dose CT Lung Cancer Screening: Comparison of Utilization Scenarios.

. Artificial intelligence (AI) tools for evaluating low-dose CT (LDCT) lung cancer screening examina...

Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results.

BACKGROUND: Accurately predicting children's memory and suggestibility in forensic contexts, such as...

Advancing Tuberculosis Screening: The Clinical Potential of Artificial Intelligence-Generated Radiology Reports for Chest Radiographs.

Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool.

BACKGROUND AND AIMS: Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics rem...

Event-Driven Taxonomy (EDT) Screening: Leveraging Effect-Based Spectral Libraries to Accelerate Semiquantitative Nontarget Analysis of AhR Agonists in Sediment in the Era of Big Data.

Sediments contain complex chemical mixtures. While effect-directed analysis (EDA) combined with nont...

Machine learning-based QSAR and structure-based virtual screening guided discovery of novel mIDH1 inhibitors from natural products.

Mutations in isocitrate dehydrogenase 1 (IDH1) have been widely observed in various tumors, such as ...

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.

Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) r...

Identifying Psychosocial, Self-Management, and Health Profiles Among Women With Chronic Pain Who Have Experienced Intimate Partner Violence and Those Who Have Not: Protocol for a 2-Phase Qualitative and Cross-Sectional Study Using AI Techniques.

BACKGROUND: Women who experience intimate partner violence (IPV) are more likely to develop disablin...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication...