AIMC Topic: Cellular Senescence

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Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Ageing research reviews Jul 1, 2025
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging-related pathologies. Accumulation of senescent cells promotes chronic inflammation, tissue dysfunction, age-related diseases, and tumor suppression. ...
Animals T-Lymphocytes Humans Tumor Microenvironment Immunotherapy Cellular Senescence Immunotherapy, Adoptive Aging Neoplasms
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The promise of machine learning approaches to capture cellular senescence heterogeneity.

Nature aging Sep 1, 2024
Humans Machine Learning Cellular Senescence
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Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis.

Neuro-oncology Jun 3, 2024
BACKGROUND: Cellular senescence can have positive and negative effects on the body, including aiding in damage repair and facilitating tumor growth. Adamantinomatous craniopharyngioma (ACP), the most common pediatric sellar/suprasellar brain tumor, p...
Humans Machine Learning Biomarkers, Tumor Male Phenotype Female Craniopharyngioma Pituitary Neoplasms Cellular Senescence Child Gene Expression Regulation, Neoplastic
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[Identification of Osteoarthritis Inflamm-Aging Biomarkers by Integrating Bioinformatic Analysis and Machine Learning Strategies and the Clinical Validation].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To identify inflamm-aging related biomarkers in osteoarthritis (OA).
Forkhead Box Protein O3 Sirtuin 3 Computational Biology Inflammation Cellular Senescence Osteoarthritis Aging Gene Expression Profiling Machine Learning Aged Male Biomarkers Humans
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A quick and reliable image-based AI algorithm for evaluating cellular senescence of gastric organoids.

Cancer biology & medicine Jun 30, 2023
OBJECTIVE: Organoids are a powerful tool with broad application prospects in biomedicine. Notably, they provide alternatives to animal models for testing potential drugs before clinical trials. However, the number of passages for which organoids main...
Cell Cycle Organoids Humans Aging Artificial Intelligence Cellular Senescence Animals
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Predicting senescence across tissues and species using deep learning.

Nature aging Aug 1, 2022
Cellular Senescence Deep Learning
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[Role of high mobility group protein B1 in 
IL-1α-induced endothelial cell senescence].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Dec 28, 2017
To explore the effect of interleukin-1α (IL-1α) on the senescence of human umbilical vein endothelial cells (HUVECs) and the function of high mobility group protein 1 (HMGB1).
 Methods: HUVECs were randomly divided into a control group, a IL-1α group...
Random Allocation HMGB1 Protein Cyclin-Dependent Kinase Inhibitor p21 Interleukin-1alpha Human Umbilical Vein Endothelial Cells Sirtuin 1 Tumor Suppressor Protein p53 Cyclin-Dependent Kinase Inhibitor p16 Humans beta-Galactosidase RNA, Messenger Cellular Senescence
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Identification of a Selective G1-Phase Benzimidazolone Inhibitor by a Senescence-Targeted Virtual Screen Using Artificial Neural Networks.

Neoplasia (New York, N.Y.) Sep 1, 2015
Cellular senescence is a barrier to tumorigenesis in normal cells, and tumor cells undergo senescence responses to genotoxic stimuli, which is a potential target phenotype for cancer therapy. However, in this setting, mixed-mode responses are common ...
G1 Phase HCT116 Cells Benzimidazoles Dose-Response Relationship, Drug Cellular Senescence User-Computer Interface Gene Regulatory Networks Humans Neural Networks, Computer
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