A new machine learning-based technique for accurately classifying key immune cells: Implications in drug design and disease diagnosis

Key Immune Cells Classified With New Machine Learning Technique

Researchers at Trinity College Dublin developed a machine-learning technique that accurately classified the state of macrophages – key immune cells. It is crucial to classify macrophages because they can change their behaviour or act as anti-inflammatory agents during the immune response. The work is likely to have a range of implications for future research, and could even make a major impact on society.

This new approach can be used by drug designers to develop therapies that target diseases and auto-immune disorders such as diabetes and cancer.

This new information, which allows scientists to distinguish macrophage states by their metabolic response to certain conditions, could be used to diagnose a patient or highlight the role played by a specific cell type within a disease-environment.

Source:
https://www.technologynetworks.com/immunology/news/key-immune-cells-classified-with-new-machine-learning-technique-366722