Ethics

Protocol for a randomized and a non-randomized controlled trial testing Daily Growth: a personalised 'ecological momentary intervention' parenting app for parents and carers of children aged 2-5 years.

BACKGROUND: Children's ability to regulate their emotions is a critical protective factor for early ...

AmpHGT: expanding prediction of antimicrobial activity in peptides containing non-canonical amino acids using multi-view constrained heterogeneous graph transformer.

BACKGROUND: Antimicrobial peptide (AMP) prediction has been extensively studied in recent years. How...

Deep learning radiomics and mediastinal adipose tissue-based nomogram for preoperative prediction of postoperative‌ brain metastasis risk in non-small cell lung cancer.

Chimeric mis-annotations of genes remain pervasive in eukaryotic non-model organisms.

BACKGROUND: Accurate annotation of protein-coding genes is critical for genome analysis in non-model...

The impact of an AI-focused ethics education program on nursing students' ethical awareness, moral sensitivity, attitudes, and generative AI adoption intention: a quasi-experimental study.

BACKGROUND: The integration of Generative artificial intelligence (GAI) into healthcare is rapidly e...

In-silico 3D molecular editing through physics-informed and preference-aligned generative foundation models.

Generating molecular structures towards desired properties is a critical task in computer-aided drug...

Decades of Scientific Data and Global Media Reporting on Complications in Non-surgical Aesthetic Treatments for a Transparent Safety Profile: Kissing Snow White Awake.

INTRODUCTION: Non-surgical aesthetic treatments (NSATs) have gained significant traction over the pa...

Screening and validation of long non-coding RNAs associated with colorectal cancer based on random forest and LASSO regression algorithm.

OBJECTIVE: Colorectal cancer (CRC) ranks as the third most prevalent contributor to global disease b...

Driving Multifunctional Nanomedicine Design for Non-Inflammatory Tumor Therapy with Integrated Machine Learning and Density Functional Theory.

Due to the promotive role of inflammation in tumor progression, designing multifunctional nanomedici...

Autophagy-related biomarkers in non-obstructive azoospermia: insights from transcriptomics and single-cell sequencing.

OBJECTIVE: Autophagy, by modulating cellular degradation and recycling processes, affects sperm cell...

Deep learning for classification of aggressive versus non-aggressive central giant cell granuloma using whole-slide histopathology images.

Microscopic images of aggressive and non-aggressive cases of central giant cell granuloma (CGCG) wer...

A Wearable AI-Driven Mask with Humidity-Sensing Respiratory Microphone for Non-Vocal Communication.

Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...

Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201.

Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, ...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...

Efficacy of an Automated Pulmonary Embolism (PE) Detection Algorithm on Routine Contrast-Enhanced Chest CT Imaging for Non-PE Studies.

The urgency to accelerate PE management and minimize patient risk has driven the development of arti...

Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT Radiomic subtypes: a multi-cohort study.

BACKGROUND: Radiomics analyzes quantitative features from medical images to reveal tumor heterogenei...

Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.

Magnetic resonance spectroscopic imaging has potential for non-invasive metabolic imaging of the hum...

Supervised Learning in Dynamic and Non Stationary Environments.

One central theme in machine learning is function estimation from sparse and noisy data. An example ...

Non-invasive Assessment of Urinary Exfoliated Proximal Tubule Cell Multispectral Autofluorescence May Differentiate Between Causes of Kidney Transplant Dysfunction.

BACKGROUND: Complications relating to delayed or deteriorating graft function following kidney trans...

Decoding the interactions and functions of non-coding RNA with artificial intelligence.

In addition to encoding proteins, mRNAs have context-specific regulatory roles that contribute to ma...

Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning.

With the rapid progress in artificial intelligence (AI) and digital pathology, prognosis prediction ...