Immunodiagnosis: Unleashing the potential of personalized immunotherapy FrontImmunol immunotherapy immunodiagnosis personalizedtherapy immunity
By Susha Cheriyedath, M.Sc.Jul 18 2023Reviewed by Benedette Cuffari, M.Sc. A recent review published in Frontiers in Immunology introduces the concept of immunodiagnosis , outlines its features, and explores the potential of artificial intelligence in constructing ID systems for precise tumor immunotherapy.
Currently used biomarkers used for ID are limited and fail to capture the complexity of immune interactions. To address this limitation, AI can be used to construct robust ID models by analyzing large and complex datasets. Moreover, AI combined with bioinformatics tools has shown promise in disease diagnosis and prognosis.
Race and ethnicity Racial and ethnic disparities exist in tumor incidence, mortality, and access to immunotherapy. Different races and ethnicities exhibit variations in immune cell subsets and signaling activation. Exposure to drugs and food Certain drugs, such as acetaminophen , have been found to negatively affect immunotherapy outcomes. Antibiotic exposure has been associated with decreased efficacy, whereas probiotics may have a beneficial effect.
Role of biomarkers in ID Biomarkers are the direct predictors in ID systems. Ideal biomarkers should be accurate, discriminative, repeatable, and involved in disease mechanisms or therapeutic targets.
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