AIMC Topic: Antigens, CD

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Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer.

The journal of pathology. Clinical research Jun 27, 2020
The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this study, we p...
Ki-67 Antigen Tissue Array Analysis Antigens, Differentiation, Myelomonocytic Immunohistochemistry Antigens, CD20 CD8 Antigens Cell Proliferation Predictive Value of Tests Antigens, CD Neoplasm Staging Image Interpretation, Computer-Assisted Risk Assessment Deep Learning Time Factors Tumor Microenvironment Biomarkers, Tumor Humans Risk Factors Stomach Neoplasms
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Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data.

International journal of molecular sciences Dec 20, 2019
Advances in flow cytometry enable the acquisition of large and high-dimensional data sets per patient. Novel computational techniques allow the visualization of structures in these data and, finally, the identification of relevant subgroups. Correct ...
Flow Cytometry Datasets as Topic Stochastic Processes Humans Computational Biology Machine Learning Antigens, CD Algorithms
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Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.

Scientific data Dec 19, 2019
The immune response to major trauma has been analysed mainly within post-hospital admission settings where the inflammatory response is already underway and the early drivers of clinical outcome cannot be readily determined. Thus, there is a need to ...
Humans Survival Analysis Machine Learning Datasets as Topic Linear Models Biomarkers Severity of Illness Index Monocytes Area Under Curve Neutrophils Antigens, CD Multiple Organ Failure Probability
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Artificial Intelligence Approach To Investigate the Longevity Drug.

The journal of physical chemistry letters Aug 14, 2019
Longevity is a very important and interesting topic, and has been demonstrated to be related to longevity. We combined network pharmacology, machine learning, deep learning, and molecular dynamics (MD) simulation to investigate potent lead drugs. Re...
Antigens, CD Binding Sites Protein Interaction Maps Glucuronidase Thermodynamics Protein Binding Signal Transduction Databases, Factual Ligands Receptor, IGF Type 1 Receptor, Insulin Artificial Intelligence Medicine, Chinese Traditional Inhibitory Concentration 50 Molecular Docking Simulation Algorithms Klotho Proteins Drug Discovery
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MIA and CD163 as promising diagnostic biomarkers in vascular dementia: A multi-method study combining WGCNA, machine learning with validation in animal models and clinical samples.

International immunopharmacology Sep 23, 2025
Vascular dementia (VaD), the second most common form of dementia, lacks reliable biomarkers for early diagnosis. Here, we integrated weighted gene co-expression network analysis (WGCNA) with machine learning to identify novel biomarkers and immune-me...
Male Gene Regulatory Networks Rats Aged Animals Humans Macrophages Dementia, Vascular Disease Models, Animal Machine Learning Antigens, Differentiation, Myelomonocytic Biomarkers Antigens, CD CD163 Antigen Female Receptors, Cell Surface
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Patterns of Gene Expression Profiles Associated with Colorectal Cancer in Colorectal Mucosa by Using Machine Learning Methods.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: Colorectal cancer (CRC) has a very high incidence and lethality rate and is one of the most dangerous cancer types. Timely diagnosis can effectively reduce the incidence of colorectal cancer. Changes in para-cancerous tissues may serve as...
Algorithms Colorectal Neoplasms Gene Expression Profiling Humans Machine Learning Cadherins Transcriptome Support Vector Machine Gene Expression Regulation, Neoplastic Intestinal Mucosa Antigens, CD
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