AI-Driven Decision Support Systems for Immunological Disorders

Abstract

Artificial Intelligence (AI) is redefining immunological research and clinical practice, providing innovative tools to unravel the complexities of immune responses. This chapter delves into AI's transformative impact on immunology, exploring its role in analyzing high-dimensional data, identifying biomarkers, and developing personalized treatment strategies. By integrating diverse datasets like genomics, proteomics, and single-cell RNA sequencing, AI predicts disease progression and guides therapeutic interventions. The chapter emphasizes AI's contributions to drug discovery, vaccine development, and clinical decision support systems (CDSS). Challenges such as data quality, algorithmic bias, and ethical considerations are critically analyzed. The convergence of AI with real-time analytics highlights its capability to build resilient healthcare systems, fostering a new era of personalized, efficient, and adaptive immunology. This comprehensive exploration underscores AI's pivotal role in advancing patient outcomes and addressing unmet needs in immune-related disorders.