AIMC Topic: Multiomics
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AgeAnnoMO: a knowledgebase of multi-omics annotation for animal aging.
Nucleic acids research
Jan 5, 2024
Aging entails gradual functional decline influenced by interconnected factors. Multiple hallmarks proposed as common and conserved underlying denominators of aging on the molecular, cellular and systemic levels across multiple species. Thus, understa...
Multiomics Analysis of Disulfidptosis Patterns and Integrated Machine Learning to Predict Immunotherapy Response in Lung Adenocarcinoma.
Current medicinal chemistry
Jan 1, 2024
BACKGROUND: Recent studies have unveiled disulfidptosis as a phenomenon intimately associated with cellular damage, heralding new avenues for exploring tumor cell dynamics. We aimed to explore the impact of disulfide cell death on the tumor immune mi...
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...
Machine Learning-derived Multi-omics Prognostic Signature of Pyroptosis-related lncRNA with Regard to ZKSCAN2-DT and Tumor Immune Infiltration in Colorectal Cancer.
Combinatorial chemistry & high throughput screening
Jan 1, 2024
BACKGROUND: Colorectal cancer (CRC) has become the most prevalent gastrointestinal malignant tumor, ranking third (10.2%) in incidence and second (9.2%) in death among all malignancies globally. The most common histological subtype of CRC is colon ad...
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence.
Radiographics : a review publication of the Radiological Society of North America, Inc
Dec 1, 2023
The remarkable advances of artificial intelligence (AI) technology are revolutionizing established approaches to the acquisition, interpretation, and analysis of biomedical imaging data. Development, validation, and continuous refinement of AI tools ...
Emerging technologies in adipose tissue research.
Adipocyte
Dec 1, 2023
Technologies are transforming the understanding of adipose tissue as a complex and dynamic tissue that plays a critical role in energy homoeostasis and metabolic health. This mini-review provides a brief overview of the potential impact of novel tech...
Maintaining High-Touch in High-Tech Digital Health Monitoring and Multi-Omics Prognostication: Ethical, Equity, and Societal Considerations in Precision Health for Palliative Care.
Omics : a journal of integrative biology
Oct 1, 2023
Advances in digital health, systems biology, environmental monitoring, and artificial intelligence (AI) continue to revolutionize health care, ushering a precision health future. More than disease treatment and prevention, precision health aims at ma...
Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes.
Briefings in bioinformatics
Sep 22, 2023
Artificial intelligence (AI) approaches in cancer analysis typically utilize a 'one-size-fits-all' methodology characterizing average patient responses. This manner neglects the diverse conditions in the pancancer and cancer subtypes of individual pa...
Multimodal deep learning approaches for single-cell multi-omics data integration.
Briefings in bioinformatics
Sep 20, 2023
Integrating single-cell multi-omics data is a challenging task that has led to new insights into complex cellular systems. Various computational methods have been proposed to effectively integrate these rapidly accumulating datasets, including deep l...
DeepICSH: a complex deep learning framework for identifying cell-specific silencers and their strength from the human genome.
Briefings in bioinformatics
Sep 20, 2023
Silencers are noncoding DNA sequence fragments located on the genome that suppress gene expression. The variation of silencers in specific cells is closely related to gene expression and cancer development. Computational approaches that exclusively r...
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