[HTML][HTML] Applications of machine learning in metabolomics: Disease modeling and classification

A Galal, M Talal, A Moustafa - Frontiers in genetics, 2022 - frontiersin.org
Metabolomics research has recently gained popularity because it enables the study of
biological traits at the biochemical level and, as a result, can directly reveal what occurs in a …

Forensic identification of sudden cardiac death: a new approach combining metabolomics and machine learning

J Cao, X Wei, MF Liu, GS An, J Li, QX Du… - Analytical and …, 2023 - Springer
The determination of sudden cardiac death (SCD) is one of the difficult tasks in the forensic
practice, especially in the absence of specific morphological changes in the autopsies and …

A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques

X Lu, J Li, X Wei, N Li, L Dang, G An, Q Du… - International Journal of …, 2023 - Springer
Determining postmortem interval (PMI) is one of the most challenging and essential
endeavors in forensic science. Developments in PMI estimation can take advantage of …

Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy

J Cao, G An, J Li, L Wang, K Ren, Q Du… - Forensic Sciences …, 2023 - academic.oup.com
Wound age estimation is one of the most challenging and indispensable issues for forensic
pathologists. Although many methods based on physical findings and biochemical tests can …

From flesh to bones: Multi‐omics approaches in forensic science

N Procopio, A Bonicelli - Proteomics, 2024 - Wiley Online Library
Recent advancements in omics techniques have revolutionised the study of biological
systems, enabling the generation of high‐throughput biomolecular data. These innovations …

Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features

N Jain, B Patel, M Hanawal, AR Lila, S Memon… - Metabolomics, 2023 - Springer
Aims To identify metabolite and lipid biomarkers of diabetes in the Indian subpopulation in
newly diagnosed diabetic and long-term diabetic individuals. To utilize the global polar …

[HTML][HTML] Serum metabolism characteristics of patients with myocardial injury after noncardiac surgery explored by the untargeted metabolomics approach

Y Zhang, M Kou, K Liu, Y Zhan, W Xu, C Huang… - BMC Cardiovascular …, 2024 - Springer
Background Myocardial injury after noncardiac surgery (MINS) is one of the most common
complications associated with postoperative adverse cardiovascular outcomes and …

A fundamental study on postmortem submersion interval estimation by metabolomics analyzing of gastrocnemius muscle from submersed rat models in freshwater

FY Zhang, LL Wang, K Zeng, WW Dong… - International journal of …, 2024 - Springer
In forensic practice, determining the postmortem submersion interval (PMSI) and cause-of-
death of cadavers in aquatic ecosystems has always been challenging task. Traditional …

Future Perspectives of Metabolomics: Gaps, Planning, and Recommendations

V Soni, N Bartelo, A Schweickart, Y Chawla… - … : Recent Advances and …, 2023 - Springer
Metabolomics is a rapidly evolving field that has the potential to revolutionize our
understanding of human health and disease. Recent advances in analytical technologies …

In vitro characterization of alternative l-threonate and d-erythronate catabolic pathways

Y Guo, K Shen, X Zhang, H Huang - Biochemical and Biophysical …, 2024 - Elsevier
Abstract l-threonate is the metabolite of vitamin C, while d-erythronate is the metabolite of N-
acetyl-d-glucosamine, the nutritional supplement for joint health. They are widely distributed …