AIMC Topic: Metabolomics
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Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.
Translational research : the journal of laboratory and clinical medicine
Jul 1, 2025
Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure and mortality rates of ∼40%, remains a significant challenge in critical care medicine. Despite advances in supportive care, accurate prediction of AR...
Integration of metabolomics and machine learning for precise management and prevention of cardiometabolic risk in Asians.
Clinical nutrition (Edinburgh, Scotland)
Jul 1, 2025
Rapid changes in dietary patterns have led to a rise in cardiometabolic diseases (CMDs) worldwide, highlighting the urgent need for effective dietary strategies to address the health issues. Compared to Caucasians, Asians are more susceptible to CMDs...
A novel metabolomic aging score - better than conventional metrics in predicting short-term mortality.
Expert review of molecular diagnostics
Jul 1, 2025
INTRODUCTION: Accurate prediction of short-term mortality is crucial for optimizing clinical prognosis and providing treatment decisions. Conventional metrics, including physiological indicators, laboratory indexes and scoring systems, suffer from li...
A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections.
Journal of the American Society for Mass Spectrometry
Jun 4, 2025
In nontargeted spatial metabolomics, accurate annotation is crucial for understanding metabolites' biological roles and spatial patterns. MS mass spectrometry imaging (MSI) coverage is often incomplete or nonexistent, resulting in many unknown featur...
Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.
Journal of the American Society for Mass Spectrometry
Jun 4, 2025
Early recognition of septic shock is crucial for improving clinical management and patient outcomes, especially in the emergency department (ED). This study conducted serum metabolomic profiling on ED patients diagnosed with septic shock (n = 32) and...
Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics.
Obstetrics and gynecology
Jun 1, 2025
OBJECTIVE: To perform metabolomic and lipidomic profiling with plasma samples from patients with placenta accreta spectrum (PAS) to identify possible biomarkers for PAS and to predict PAS with machine learning methods that incorporated clinical chara...
Exploration of Active Substances and Its Potential Mechanism of Gancao Fuzi Decoction on Inflammatory Based on Metabolomics and Network Pharmacology.
Rapid communications in mass spectrometry : RCM
May 30, 2025
Gancao Fuzi decoction (GCFZT) is a traditional Chinese formula, which has been commonly used in clinical practice to treat inflammatory diseases. However, the active substance of GCFZT in the treatment of inflammation is not fully clarified. In this ...
Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia.
Scientific reports
May 16, 2025
To study the differences in the urine metabolome between pediatric patients with severe Mycoplasma pneumoniae pneumonia (SMPP) and those with general Mycoplasma pneumoniae pneumonia (GMPP) via non-targeted metabolomics method, and potential biomarker...
M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling.
International journal of molecular sciences
May 13, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection critical for improving survival rates, yet conventional methods like CT scans often yield high false-positive rates. This study introduces M-GNN, a grap...
High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.
The Analyst
May 12, 2025
Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy loss (RPL) being a prevalent cause of infertility among women. This condition causes immense emotional and physical distress for affected individuals an...
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