Alternative Medicine

Integrative Proteomics-Metabolomics Profiling of Umbilical Cord Plasma With Machine Learning Reveals Candidate Biomarkers for Gestational Diabetes Mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication, yet its molecular mechanisms remain incompletely understood. This study applied a multi-omics strategy combined with machine learning to identify candidate biomarkers and dysregulated molecular networks at the maternal-fetal interface. METHODS: Umbilical cord plasma from 61 pregnant women, including 34 with GDM and...

Artificial intelligence for predicting BCG response in non-muscle-invasive bladder cancer: a systematic review.

OBJECTIVES: To systematically identify, appraise and synthesise artificial intelligence (AI) and machine-learning (ML) models that predict treatment response and clinical outcomes after intravesical bacillus Calmette-Guérin (BCG) in non-muscle-invasive bladder cancer (NMIBC), a setting in which current risk calculators underperform, and identifying non-responders has become urgent as alternatives ...

Antimony- and NSAID-Induced Hepatotoxicity at the Molecular Crossroads: Redox, Inflammasome and Programmed Cell-Death Networks as Therapeutic Targets for Natural Hepatoprotective Agents.

Drug- and metal-induced liver damage (DILI/MILI) continues to be a predominant cause of acute hepatic failure globally, with two clinically significan...

CPTCs Drive Somatic-Visceral Communication via the Wnt Axis in Somatic Mechanotherapy: A Single-Cell Deep Learning Study.

Somatic mechanical stimulation (e.g., acupuncture) exerts systemic immunomodulatory effects, yet the cellular bridge translating peripheral physical f...

Artificial Intelligence in Occlusion-Oriented Digital Reconstruction of Maxillofacial Fractures: Current Applications and Translational Challenges.

Maxillofacial fractures require reconstruction of a functional craniofacial unit rather than isolated realignment of fractured bone. Stable occlusion,...

Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures.

N6-methyladenosine (m6A), the most abundant mRNA modification in eukaryotes, plays essential roles in gene regulation and disease pathogenesis. Comput...

Hyperspectral Camera Imaging Tandem With HPLC-UV-ELSD Determination and Cell Bioassay for Geographical Discrimination and Quality Consistency Evaluation of Anoectochilus roxburghii.

INTRODUCTION: Anoectochilus roxburghii (AR) is a prized medicinal herb valued for its hepatoprotective effects. Its quality varies depending on geogra...

Integrative machine learning and single-nucleus transcriptomics reveal MAPK-centered neuronal responses underlying the potential Alzheimer's disease risk of GenX.

Hexafluoropropylene oxide-dimer acid (GenX or HFPO-DA) is a novel per- and polyfluoroalkyl substance developed as a replacement for legacy compounds, ...

Bridging fibrosis and function: an integrated mechanistic and therapeutic framework for Peyronie's disease and related erectile dysfunction.

INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...

LIMK1 and PKM as Integratively Identified Transcriptomic Signatures in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) involves complex immunometabolic dysregulation. Mitochondria-associated endoplasmic reticulum membranes (MAMs) link m...

Livestock Multi-Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation.

Livestock multi-omics integration is key to unraveling complex trait regulation, yet systematic, livestock-specific strategies remain scarce. This rev...

Healing Without Certainty: The Ethical Significance of Uncertainty in Israeli Medicine in the Age of Artificial Intelligence.

The growing integration of artificial intelligence into healthcare is frequently associated with efforts to reduce uncertainty through prediction, dat...

Identifying Complementary Therapeutic Relationships for Drug Repurposing via Spectral-Spatial Graph Contrastive Learning.

Drug repurposing facilitates the discovery of novel therapies by identifying alternative indications for clinically approved drugs. However, many exis...

[Advances in phage therapy for pneumonia caused by Klebsiella pneumoniae].

Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobial resistance, with mortality from pneumonia cause...

Clinical predictive artificial intelligence evaluation: A narrative review of trial designs and practical considerations.

Artificial intelligence (AI) predictive models demonstrate potential for transforming clinical decision-making across medicine. However, conventional ...

Precision Medicine in Transfusion-Dependent and Non-Transfusion-Dependent β-Thalassemia: Toward Personalized Diagnosis and Therapy.

β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, transfusion exposure, iron loading, and organ complica...

Preferences for AI-Enabled Health Care Technologies: Systematic Review of Discrete Choice Experiments and Reporting Quality Assessment Using the DIRECT Checklist.

BACKGROUND: AI is increasingly being integrated into health care, making it important to understand stakeholder preferences for AI-enabled technologie...

Human-Edited Generative AI-Assisted Multiple-Choice Questions in Postgraduate Family Medicine: Blinded Cross-Sectional Comparative Psychometric Study.

BACKGROUND: Generative artificial intelligence (GenAI) is increasingly used to draft multiple-choice questions (MCQs) for health professions education...

Integrative machine learning reveals telomere-associated gene modules reflecting neuronal dysregulation in Alzheimer's disease.

BackgroundTelomere dysfunction contributes to cellular aging and genome instability, but telomere-associated transcription in Alzheimer's disease (AD)...

Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle.

BACKGROUND: Feed efficiency (FE) is recognized as a vital component of sustainable dairy production, with residual feed intake (RFI) serving as a key ...