AIMC Topic: Adaptive Immunity

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To err is robotic, to tolerate immunological: fault detection in multirobot systems.

Bioinspiration & biomimetics
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...

Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning.

Nucleic acids research
Machine learning (ML) has shown great potential in the adaptive immune receptor repertoire (AIRR) field. However, there is a lack of large-scale ground-truth experimental AIRR data suitable for AIRR-ML-based disease diagnostics and therapeutics disco...

Predicting adaptive immune receptor specificities by machine learning is a data generation problem.

Cell systems
Determining the specificity of adaptive immune receptors-B cell receptors (BCRs), their secreted form antibodies, and T cell receptors (TCRs)-is critical for understanding immune responses and advancing immunotherapy and drug discovery. Immune recept...

Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning.

Cell systems
The adaptive immune system holds invaluable information on past and present immune responses in the form of B and T cell receptor sequences, but we are limited in our ability to decode this information. Machine learning approaches are under active in...

Enhancement of the Immune Function by Titanium Dioxide Nanorods and Their Application in Cancer Immunotherapy.

Journal of biomedical nanotechnology
With the rapid development of nanotherapy, concerns surrounding the possible use of nanomaterials-mediated immunomodulation are growing. Thus, evaluating the effects of novel materials for potential application in nanotherapy is essential. Herein, we...