AIMC Topic: Models, Immunological

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An immune-inspired swarm aggregation algorithm for self-healing swarm robotic systems.

Bio Systems May 10, 2016
Swarm robotics is concerned with the decentralised coordination of multiple robots having only limited communication and interaction abilities. Although fault tolerance and robustness to individual robot failures have often been used to justify the u...
Humans Artificial Intelligence Macrophages Computer Simulation Algorithms Animals T-Lymphocytes Immune System Models, Immunological Robotics Chemokines Granuloma
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Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

PLoS computational biology Apr 13, 2015
The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector ce...
HIV Antibodies Humans AIDS Vaccines HIV Antigens Machine Learning Computational Biology Antibody-Dependent Cell Cytotoxicity HIV-1 Cytokines Models, Immunological HIV Infections
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To err is robotic, to tolerate immunological: fault detection in multirobot systems.

Bioinspiration & biomimetics Feb 2, 2015
Fault detection and fault tolerance represent two of the most important and largely unsolved issues in the field of multirobot systems (MRS). Efficient, long-term operation requires an accurate, timely detection, and accommodation of abnormally behav...
Equipment Failure Analysis Models, Immunological Equipment Failure Robotics Biomimetics Adaptive Immunity Humans Computer Simulation Algorithms Animals
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Unveiling the immune infiltrate modulation in cancer and response to immunotherapy by MIXTURE-an enhanced deconvolution method.

Briefings in bioinformatics Jul 20, 2021
The accurate quantification of tumor-infiltrating immune cells turns crucial to uncover their role in tumor immune escape, to determine patient prognosis and to predict response to immune checkpoint blockade. Current state-of-the-art methods that qua...
Support Vector Machine Neoplasms Humans Databases, Nucleic Acid Transcriptome Immunotherapy Models, Immunological Gene Expression Regulation, Neoplastic
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Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).

Journal of drugs in dermatology : JDD Dec 1, 2020
BACKGROUND: Drug resistance to biologics in psoriasis therapy can occur – it may be acquired during a treatment or else present itself from the beginning. To date, no biomarkers are known that may reliably guide clinicians in predicting respons...
Prognosis Female Prospective Studies Biomarkers Middle Aged Severity of Illness Index Deep Learning Adult Male Models, Immunological Antibodies, Monoclonal, Humanized Psoriasis Humans Predictive Value of Tests Drug Resistance Biological Products Injections, Subcutaneous Pilot Projects Treatment Outcome Time Factors
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Unsupervised selection of RV144 HIV vaccine-induced antibody features correlated to natural killer cell-mediated cytotoxic reactions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
HIV-1 vaccine injection has been shown less effective due to the diversity of antigens. Increasing the knowledge of the associations between immune system and virus would ultimately result in producing effective vaccines against HIV-1 virus. To incre...
AIDS Vaccines HIV Antibodies HIV Envelope Protein gp120 Killer Cells, Natural Models, Immunological Unsupervised Machine Learning HIV-1 Humans HIV Infections
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