AIMC Topic: Metabolomics

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Exploring machine learning for untargeted metabolomics using molecular fingerprints.

Computer methods and programs in biomedicine Apr 8, 2024
BACKGROUND: Metabolomics, the study of substrates and products of cellular metabolism, offers valuable insights into an organism's state under specific conditions and has the potential to revolutionise preventive healthcare and pharmaceutical researc...
Cell Line Cell Hypoxia Ataxia Telangiectasia Humans Machine Learning Metabolomics
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Metabolomics profile and machine learning prediction of treatment responses in immune thrombocytopenia: A prospective cohort study.

British journal of haematology Mar 4, 2024
Immune thrombocytopenia (ITP) is an autoimmune disease characterized by antibody-mediated platelet destruction and impaired platelet production. The mechanisms underlying ITP and biomarkers predicting the response of drug treatments are elusive. We p...
Machine Learning Prospective Studies Biomarkers Metabolic Networks and Pathways Humans Bone Marrow Metabolomics Male Purpura, Thrombocytopenic, Idiopathic Middle Aged Female Metabolome Aged Adult Treatment Outcome
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Transforming Big Data into AI-ready data for nutrition and obesity research.

Obesity (Silver Spring, Md.) Mar 1, 2024
OBJECTIVE: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), h...
Obesity Accelerometry Nutritional Sciences Humans Big Data Artificial Intelligence Machine Learning Metabolomics Software Biomedical Research
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Interpretable deep learning methods for multiview learning.

BMC bioinformatics Feb 14, 2024
BACKGROUND: Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to new biome...
Knowledge Deep Learning Genomics Cluster Analysis Metabolomics
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Multi-omics analysis identifies potential microbial and metabolite diagnostic biomarkers of bacterial vaginosis.

Journal of the European Academy of Dermatology and Venereology : JEADV Jan 29, 2024
BACKGROUND: Bacterial vaginosis (BV) is a common clinical manifestation of a perturbed vaginal ecology associated with adverse sexual and reproductive health outcomes if left untreated. The existing diagnostic modalities are either cumbersome or requ...
Adult Multiomics RNA, Ribosomal, 16S Metabolomics Metabolome Biomarkers Humans Vaginosis, Bacterial Microbiota Female Machine Learning Vagina Young Adult
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Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review).

Oncology reports Jan 19, 2024
Artificial intelligence (AI) has emerged as a crucial technique for extracting high‑throughput information from various sources, including medical images, pathological images, and genomics, transcriptomics, proteomics and metabolomics data. AI has be...
Precision Medicine Female Gene Expression Profiling Metabolomics Ovarian Neoplasms Humans Artificial Intelligence
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Discovery of sparse, reliable omic biomarkers with Stabl.

Nature biotechnology Jan 2, 2024
Adoption of high-content omic technologies in clinical studies, coupled with computational methods, has yielded an abundance of candidate biomarkers. However, translating such findings into bona fide clinical biomarkers remains challenging. To facili...
Metabolomics Reproducibility of Results Computational Biology Proteomics Machine Learning Biomarkers Humans
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A Machine Learning Analysis of Big Metabolomics Data for Classifying Depression: Model Development and Validation.

Biological psychiatry Dec 22, 2023
BACKGROUND: Many metabolomics studies of depression have been performed, but these have been limited by their scale. A comprehensive in silico analysis of global metabolite levels in large populations could provide robust insights into the pathologic...
Male Humans Middle Aged Depression Machine Learning Aged Big Data Adult Biomarkers Metabolomics Female Depressive Disorder
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DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data.

Journal of visualized experiments : JoVE Dec 15, 2023
Large omics datasets are becoming increasingly available for research into human health. This paper presents DeepOmicsAE, a workflow optimized for the analysis of multi-omics datasets, including proteomics, metabolomics, and clinical data. This workf...
Alzheimer Disease Humans Proteomics Deep Learning Metabolomics Metabolome
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Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics.

Journal of chemical information and modeling Dec 11, 2023
Multiclass metabolomic studies have become popular for revealing the differences in multiple stages of complex diseases, various lifestyles, or the effects of specific treatments. In multiclass metabolomics, there are multiple data manipulation steps...
Machine Learning Support Vector Machine Metabolomics
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