AIMC Topic: Metabolomics
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Machine learning approach reveals microbiome, metabolome, and lipidome profiles in type 1 diabetes.
Journal of advanced research
Nov 30, 2023
INTRODUCTION: Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental factors. The gut microbiome, the serum metabolome, and the serum lipidome have been identified as key environmental factors contributing to the pathophy...
Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study.
BJOG : an international journal of obstetrics and gynaecology
Nov 20, 2023
OBJECTIVES: To identify and internally validate metabolites predictive of spontaneous preterm birth (sPTB) using multiple machine learning methods and sequential maternal serum samples, and to predict spontaneous early term birth (sETB) using these m...
From Microcosm to Macrocosm: The -Omics, Multiomics, and Sportomics Approaches in Exercise and Sports.
Omics : a journal of integrative biology
Nov 9, 2023
This article explores the progressive integration of -omics methods, including genomics, metabolomics, and proteomics, into sports research, highlighting the development of the concept of "sportomics." We discuss how sportomics can be used to compreh...
Untargeted metabolomic profiling in children identifies novel pathways in asthma and atopy.
The Journal of allergy and clinical immunology
Oct 29, 2023
BACKGROUND: Asthma and other atopic disorders can present with varying clinical phenotypes marked by differential metabolomic manifestations and enriched biological pathways.
Application of metabolomics in diagnostics and differentiation of meningitis: A narrative review with a critical approach to the literature.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Oct 12, 2023
Due to its high mortality rate associated with various life-threatening sequelae, meningitis poses a vital problem in contemporary medicine. Numerous algorithms, many of which were derived with the aid of artificial intelligence, were brought up in a...
Machine Learning and Omics Analysis in Aortic Aneurysm.
Angiology
Oct 10, 2023
Aortic aneurysm is a life-threatening condition and mechanisms underlying its formation and progression are still incompletely understood. Omics approach has brought new insights to identify a broad spectrum of biomarkers and better understand cellul...
Recent methodological advances towards single-cell proteomics.
Proceedings of the Japan Academy. Series B, Physical and biological sciences
Sep 6, 2023
Studying the central dogma at the single-cell level has gained increasing attention to reveal hidden cell lineages and functions that cannot be studied using traditional bulk analyses. Nonetheless, most single-cell studies exploiting genomic and tran...
Urine and serum metabolic profiling combined with machine learning for autoimmune disease discrimination and classification.
Chemical communications (Cambridge, England)
Aug 10, 2023
Precision diagnosis and classification of autoimmune diseases (ADs) is challenging due to the obscure symptoms and pathological causes. Biofluid metabolic analysis has the potential for disease screening, in which high throughput, rapid analysis and ...
Highly automatic and universal approach for pure ion chromatogram construction from liquid chromatography-mass spectrometry data using deep learning.
Journal of chromatography. A
Jun 19, 2023
Feature extraction is the most fundamental step when analyzing liquid chromatography-mass spectrometry (LC-MS) datasets. However, traditional methods require optimal parameter selections and re-optimization for different datasets, thus hindering effi...
Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.
Computer methods and programs in biomedicine
Jun 17, 2023
BACKGROUND AND OBJECTIVE: Mechanistic-based Model simulations (MM) are an effective approach commonly employed, for research and learning purposes, to better investigate and understand the inherent behavior of biological systems. Recent advancements ...
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