AI Medical Compendium Journal:
Integrative biology : quantitative biosciences from nano to macro

Showing 1 to 7 of 7 articles

Automated, high-throughput serum glycoprofiling platform.

Integrative biology : quantitative biosciences from nano to macro Jul 20, 2015
Complex carbohydrates are rapidly becoming excellent biomarker candidates because of their high sensitivity to pathological changes. However, the discovery of clinical glycobiomarkers has been slow, due to the scarcity of high-throughput glycoanalyti...
Robotics Glycomics Chromatography, High Pressure Liquid Lab-On-A-Chip Devices Equipment Design High-Throughput Screening Assays Humans Polysaccharides Specimen Handling Blood Chemical Analysis Reproducibility of Results Equipment Failure Analysis Sensitivity and Specificity
View on PubMed DOI

Identification of CXCR4 inhibitory activity in natural compounds using cheminformatics-guided machine learning algorithms.

Integrative biology : quantitative biosciences from nano to macro Jan 8, 2025
Neurodegenerative disorders are characterised by progressive damage to neurons that leads to cognitive impairment and motor dysfunction. Current treatment options focus only on symptom management and palliative care, without addressing their root cau...
Humans Parkinson Disease Machine Learning Receptors, CXCR4 Alzheimer Disease Cheminformatics Algorithms Drug Discovery Biological Products
View on PubMed DOI

Machine learning ranking of plausible (un)explored synergistic gene combinations using sensitivity indices of time series measurements of Wnt signaling pathway.

Integrative biology : quantitative biosciences from nano to macro Jan 23, 2024
Combinations of genes or proteins work in synergy at different times and durations in a signaling pathway. However, which combinations are prevalent at a particular time point or duration is mostly not known. Sensitivity analysis plays a major role i...
Frizzled Receptors Gene Expression Wnt Signaling Pathway Wnt Proteins Machine Learning
View on PubMed DOI

Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Integrative biology : quantitative biosciences from nano to macro May 21, 2020
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochem...
Machine Learning Algorithms Reproducibility of Results Humans Tumor Suppressor Protein p53 Multivariate Analysis Genes, p53 Normal Distribution PTEN Phosphohydrolase DNA Damage ROC Curve Outcome Assessment, Health Care Signal Transduction Probability Decision Making
View on PubMed DOI

Precision immunoprofiling to reveal diagnostic signatures for latent tuberculosis infection and reactivation risk stratification.

Integrative biology : quantitative biosciences from nano to macro Jan 1, 2019
Latent tuberculosis infection (LTBI) is estimated in nearly one quarter of the world's population, and of those immunocompetent and infected ~10% will proceed to active tuberculosis (TB). Current diagnostics cannot definitively identify LTBI and prov...
Latent Tuberculosis Tuberculin Test Immune System Mycobacterium tuberculosis Diagnostic Tests, Routine Silicon Antigens Photons Risk Assessment Leukocytes, Mononuclear Computational Biology Mass Screening Immunoassay Workflow Adult Male Humans Middle Aged Biomarkers Machine Learning Cytokines Female Algorithms Prospective Studies Aged
View on PubMed DOI

Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest.

Integrative biology : quantitative biosciences from nano to macro Dec 19, 2018
Metastasis is the cause of death in most patients of breast cancer and other solid malignancies. Identification of cancer cells with highly migratory capability to metastasize relies on markers for epithelial-to-mesenchymal transition (EMT), a proces...
Female Reproducibility of Results Breast Neoplasms Animals Neoplasms Deep Learning Neural Networks, Computer Algorithms Decision Support Techniques Humans Neoplasm Metastasis Lab-On-A-Chip Devices Cell Line, Tumor Cell Movement Single-Cell Analysis Epithelial-Mesenchymal Transition Mice Models, Biological
View on PubMed DOI

Enhancing fluorescent protein photostability through robot-assisted photobleaching.

Integrative biology : quantitative biosciences from nano to macro Jul 16, 2018
Improving fluorescent proteins through the use of directed evolution requires robust techniques for screening large libraries of genetic variants. Here we describe an effective and relatively low-cost system for screening libraries of fluorescent pro...
Photobleaching Robotics Bacterial Proteins Photochemistry Mutation Humans Models, Biological Plasmids Escherichia coli Light Crystallography, X-Ray HeLa Cells Luminescent Proteins
View on PubMed DOI
Popular Topics
Popular Journals