AIMC Topic: Cytokines
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Inter-species pathway perturbation prediction via data-driven detection of functional homology.
Bioinformatics (Oxford, England)
Aug 22, 2014
MOTIVATION: Experiments in animal models are often conducted to infer how humans will respond to stimuli by assuming that the same biological pathways will be affected in both organisms. The limitations of this assumption were tested in the IMPROVER ...
Bronchi
Gene Expression Regulation
Models, Animal
Humans
Species Specificity
Oligonucleotide Array Sequence Analysis
Artificial Intelligence
Epithelial Cells
Software
Phosphorylation
Translational Research, Biomedical
Phosphoproteins
Animals
Algorithms
Gene Expression Profiling
Cells, Cultured
Cytokines
Databases, Factual
Systems Biology
Rats
Signal Transduction
Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.
Human vaccines & immunotherapeutics
Dec 1, 2025
Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination symptoms, termed post-COVID-19 vaccine syndrome (PCVS), resemble post-acute sequelae of COVID-19 (PASC). Symptoms like cardiac, vascular, and neurolog...
Artificial intelligence predicts pregnancy complications based on cytokine profiles.
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Dec 1, 2025
BACKGROUND: Early prediction of pregnancy complications is important for adequate and timely prevention, management, and reducing maternal/fetal pathogenesis.
Risk Stratification of Dengue Cases Requiring Hospitalization.
Journal of medical virology
Aug 1, 2025
Dengue pathogenesis involves immune-driven inflammation that contributes to severe disease progression. This study assessed a machine learning model to identify a minimal, yet highly predictive biomarker set, aiming to support clinical decision-makin...
Global Thyroid Cancer Patterns and Predictive Analytics: Integrating Machine Learning for Advanced Diagnostic Modelling.
Journal of cellular and molecular medicine
Jul 1, 2025
BACKGROUND: The global increase in thyroid cancer prevalence, particularly among female populations, underscores critical gaps in our understanding of molecular pathogenesis and diagnostic capabilities. Our investigation addresses these knowledge def...
Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.
Translational research : the journal of laboratory and clinical medicine
Jul 1, 2025
Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure and mortality rates of ∼40%, remains a significant challenge in critical care medicine. Despite advances in supportive care, accurate prediction of AR...
Machine learning-based label-free macrophage phenotyping in immune-material interactions.
Journal of materials chemistry. B
May 21, 2025
The rapid advancement of implantable biomedical materials necessitates a comprehensive understanding of macrophage interactions to optimize implant immunocompatibility. Macrophages, key immune regulators, exhibit phenotypic plasticity by polarizing i...
An Approach to Predict Intraocular Diseases by Machine Learning Based on Vitreous Humor Immune Mediator Profile.
Investigative ophthalmology & visual science
Mar 3, 2025
PURPOSE: This study aimed to elucidate whether machine learning algorithms applied to vitreous levels of immune mediators predict the diagnosis of 12 representative intraocular diseases, and identify immune mediators driving the predictive power of m...
Prediction of phenotypes by secretory biomarkers and machine learning in patients with chronic rhinosinusitis.
European review for medical and pharmacological sciences
Jan 1, 2025
OBJECTIVE: Chronic rhinosinusitis (CRS) has traditionally been classified phenotypically according to the presence (CRSwNP) or absence (CRSsNP) of nasal polyps. However, the phenotypic dichotomy does not represent the complexity of the disease. Curre...
Exploiting Metabolic Defects in Glioma with Nanoparticle-Encapsulated NAMPT Inhibitors.
Molecular cancer therapeutics
Aug 1, 2024
The treatment of primary central nervous system tumors is challenging due to the blood-brain barrier and complex mutational profiles, which is associated with low survival rates. However, recent studies have identified common mutations in gliomas [is...
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