AIMC Topic: Humans

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A comprehensive review on effects of non-conventional plant food processing technologies on selected bioactive compounds: The current trends and future challenges.

Food chemistry
The food industry is continually evolving, driven by the demand for innovative processing technologies capable of preserving the nutritional and functional properties while ensuring food safety and quality. Traditional thermal processing frequently r...

Mechanism of triptolide in the treatment of gastric cancer with diabetes through JAK2/STAT3 pathway.

European journal of pharmacology
Univariate and multivariate Cox analyses revealed a correlation between diabetes and the prognosis of gastric cancer patients (p < 0.05). Using bioinformatics, Serine/threonine-protein kinase pim-1 (PIM1) was identified as the core target gene of tri...

Mitochondria-Targeted Fluorescent Probes: Bridging Molecular Innovation and Disease Diagnosis.

Journal of medicinal chemistry
Mitochondria play essential roles in cellular energy metabolism and biological processes, with their dysfunction implicated in various diseases. Mitochondria-targeted fluorescent probes have thus been developed to sensitively detect metabolites and m...

Resolution-Adaptive Binning Enhances Machine Learning Modeling by Interbatch and Multiplatform Orbitrap-Based Shotgun Mass Spectrometry Data Integration.

Analytical chemistry
Machine learning (ML) modeling on mass spectrometry (MS)-based shotgun data facilitates feature selection and disease modeling. However, batch-specific models often struggle with limited transferability and generalizability, necessitating data integr...

Covalent: Interpretable and Discriminative Collective Variables Reveal Ligand-Dependent Switching in Human Cellular Retinol-Binding Protein 2.

Journal of chemical theory and computation
Identifying collective variables (CVs) that are both discriminative and interpretable remains a central challenge for enhanced sampling and mechanistic analysis of biomolecular systems. We present (), a supervised machine learning-based CV discovery...

A machine learning protocol for predicting structural distributions of amyloid-forming proteins from 2D IR spectra.

Proceedings of the National Academy of Sciences of the United States of America
Protein misfolding plays a central role in diseases such as Alzheimer's disease, Parkinson's disease, type 2 diabetes, and transthyretin amyloidosis (ATTR), often driven by specific aggregation-prone segments such as A and A of amyloid-42 (A42), -Syn...

Evaluating the accuracy and patient perception of AI-generated answers on pectus surgery.

Journal of cardiothoracic surgery
UNLABELLED: This article aims to evaluate the quality of responses provided by AI systems ChatGPT-4o and Gemini 1.5 to frequently asked patient questions regarding pectus deformity.

Multi-omics analysis reveal clinical-gut-brain interactions in female ibs patients with adverse childhood experiences.

Biology of sex differences
BACKGROUND: The brain-gut system, which involves bidirectional communication between the central nervous system and the gut, plays a central role in stress responses. Its dysregulation is implicated in irritable bowel syndrome (IBS), a stress-sensiti...

Income, psychological security, and subjective well-being in urban China: a machine learning analysis with SHAP interpretation.

BMC psychology
BACKGROUND: Subjective well-being has become a core indicator for measuring social progress and policy effectiveness. However, the "Easterlin Paradox" remains prevalent, and this paradox refers to the disconnect between economic growth and improvemen...

Identification and validation of PANoptosis-related biomarkers in Alzheimer's disease via single-cell RNA sequencing and machine learning.

European journal of medical research
BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder with complex underlying mechanisms. PANoptosis, a newly defined form of programmed cell death that integrates pyroptosis, apoptosis, and necroptosis, may play a crucial ...