AIMC Topic: Metabolomics
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Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning.
Experimental dermatology
Jul 1, 2024
Basal cell carcinoma (BCC), the most common keratinocyte cancer, presents a substantial public health challenge due to its high prevalence. Traditional diagnostic methods, which rely on visual examination and histopathological analysis, do not includ...
Biomarker discovery and metabolic profiling in serum of cardiovascular disease patients with untargeted metabolomics and machine learning.
Clinical and translational medicine
Jun 1, 2024
DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification.
Briefings in bioinformatics
May 23, 2024
Biomedical research now commonly integrates diverse data types or views from the same individuals to better understand the pathobiology of complex diseases, but the challenge lies in meaningfully integrating these diverse views. Existing methods ofte...
RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification.
Bioinformatics (Oxford, England)
Mar 4, 2024
MOTIVATION: Liquid chromatography retention times prediction can assist in metabolite identification, which is a critical task and challenge in nontargeted metabolomics. However, different chromatographic conditions may result in different retention ...
DrugBank 6.0: the DrugBank Knowledgebase for 2024.
Nucleic acids research
Jan 5, 2024
First released in 2006, DrugBank (https://go.drugbank.com) has grown to become the 'gold standard' knowledge resource for drug, drug-target and related pharmaceutical information. DrugBank is widely used across many diverse biomedical research and cl...
Multi-omics Combined with Machine Learning Facilitating the Diagnosis of Gastric Cancer.
Current medicinal chemistry
Jan 1, 2024
Gastric cancer (GC) is a highly intricate gastrointestinal malignancy. Early detection of gastric cancer forms the cornerstone of precision medicine. Several studies have been conducted to investigate early biomarkers of gastric cancer using genomics...
Research Progress of Metabolomics Techniques Combined with Machine Learning Algorithm in Wound Age Estimation.
Fa yi xue za zhi
Dec 25, 2023
Wound age estimation is the core content in the practice of forensic medicine. Accurate estimation of wound age is a scientific question that needs to be urgently solved by forensic scientists at home and abroad. Metabolomics techniques can effective...
An integrated deep learning framework for the interpretation of untargeted metabolomics data.
Briefings in bioinformatics
Jul 20, 2023
Untargeted metabolomics is gaining widespread applications. The key aspects of the data analysis include modeling complex activities of the metabolic network, selecting metabolites associated with clinical outcome and finding critical metabolic pathw...
Deep Learning Based Metabolite Annotation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Metabolite annotation is a major bottleneck in untargeted metabolomics studies by liquid chromatography coupled with mass spectrometry (LC-MS). This is in part due to the limited publicly available spectral libraries, which consist of tandem mass spe...
1st International Conference on Biomedical Sciences, Dow University of Health Sciences, Karachi Pakistan.
JPMA. The Journal of the Pakistan Medical Association
Jun 1, 2023
Institute of Biomedical Sciences (IBMS) at Dow University of Health Sciences (DUHS), organised a two day's conference on Biomedical Sciences. IBMS being the part of one of the largest public sector health universities of Pakistan, is now transforming...
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