[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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
death of cadavers in aquatic ecosystems has always been challenging task. Traditional …
Future Perspectives of Metabolomics: Gaps, Planning, and Recommendations
Metabolomics is a rapidly evolving field that has the potential to revolutionize our
understanding of human health and disease. Recent advances in analytical technologies …
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 …
acetyl-d-glucosamine, the nutritional supplement for joint health. They are widely distributed …