Alternative Medicine

Integrative machine learning identifies robust inflammation-related diagnostic biomarkers and stratifies immune-heterogeneous subtypes in Kawasaki disease.

BACKGROUND: Kawasaki disease (KD), a pediatric systemic vasculitis, lacks reliable diagnostic biomar...

NFKB1-targeted metabolites as novel therapeutic approaches for erectile dysfunction: evidence from gut microbiota network pharmacology and machine learning.

BACKGROUND: Growing evidence suggests that alterations in the gut microbiota may contribute to the p...

From Fragile Lives to Forensic Truth: Multimodal Forensic Approaches to Pediatric Homicide and Suspect Death.

Forensic investigation of child homicides presents unique challenges due to the vulnerability of ch...

Leveraging Artificial Intelligence to Bridge the Gap Between Evidence and Practice in Cardiology.

Integrative strategies in drug discovery: Harnessing genomics, deep learning, and computer-aided drug design.

The development of novel drugs increasingly relies on advanced omics technologies, including genomic...

Deep Learning Black-Box and Pattern Recognition Analysis Using Guided Grad-CAM for Phytolith Identification.

BACKGROUND AND AIMS: In this article, visual explainers are applied to give transparency to the blac...

Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening.

INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...

Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.

OBJECTIVE: Papillary thyroid carcinoma (PTC) has a high recurrence rate and lacks reliable diagnosti...

A Multi‑Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision‑Making.

Brains excel at robust decision-making and data-efficient learning. Understanding the architectures ...

Macrophage histone lactylation in atherosclerosis progression: mechanisms, predictive models, and therapeutic potential of Ruan Jian Qing Mai formula.

AIMS: This study investigates the role of macrophage histone lactylation-a protein modification-in a...

Decoding dynamic brain networks in Parkinson's disease with temporal attention.

Detecting brief, clinically meaningful changes in brain activity is crucial for understanding neurol...

Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation.

Understanding how protein mutations affect protein-nucleic acid binding is critical for unraveling d...

An integrative and comprehensive analysis of blood transcriptomes combined with machine learning models reveals key signatures for tuberculosis diagnosis and risk stratification.

Tuberculosis (TB) remains a major global health challenge, contributing substantially to morbidity a...

Integrative multi-omics reveal NSUN2 facilitates glycolysis and histone lactylation-driven immune evasion in renal carcinoma.

Clear cell renal carcinoma (ccRCC) is the most prevalent and aggressive subtype of kidney cancer. Ta...

Integrative Machine Learning Approach to Explore Glycosylation Signatures and Immune Landscape in Moyamoya Disease.

Moyamoya disease (MMD) is a rare, chronic cerebrovascular disorder of uncertain etiology. Although a...

Mitigating patient harm risks: A proposal of requirements for AI in healthcare.

With the rise Artificial Intelligence (AI), mitigation strategies may be needed to integrate AI-enab...

Integrative machine learning model for subtype identification and prognostic prediction in lung squamous cell carcinoma.

BACKGROUND: Lung squamous cell carcinoma (LUSC) is a leading cause of cancer-related mortality, and ...

Quantifying the roles of visual, linguistic, and visual-linguistic complexity in noun and verb acquisition.

Children often learn the meanings of nouns before they grasp the meanings of verbs. This discrepancy...

RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study.

BACKGROUND: Gene expression analysis is a crucial tool for uncovering the biological mechanisms that...

Exploration of Crucial miRNA Signatures and Molecular Mechanisms in the System of Muscle-Exosome-Bone: Evidence from Transcriptome Data.

Muscles and bones are adjacent in spatial position and closely related in function. Exosomes can ach...

Brassica microgreens shape gut microbiota and functional metabolite profiles in a species-related manner: A multi-omics approach following in vitro gastrointestinal digestion and large intestine fermentation.

Brassicaceae microgreens constitute a novel and promising source of bioactive compounds, such as pol...