Back to Journals » Journal of Multidisciplinary Healthcare » Big Data and AI in Immune-Mediated Conditions: Bridging Systems Biology and Clinical Practice
Journal of Multidisciplinary Healthcare
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Journal Articles:
- Building a Sustainable Allied Health Workforce: Recruitment, Retention, and Resilience (2)
- A Multidisciplinary Approach to Reducing Suicide Risk Among Adolescents: Strategies, Challenges, and Solutions (4)
- Global Advances in Pharmacogenomics: From Discovery to Clinical Implementation and Improved Patient Outcomes (1)
- Allied Health Matters: Showcasing Value, Driving Impact (7)
- Strengthening Multidisciplinary Healthcare Teams: Workforce Integration, Team Collaboration, and Equitable Care (1)
- Harnessing Database Mining for Advancing Clinical Practice: From Insights to Therapeutic Innovation (10)
- Cybersecurity in Healthcare: Ensuring Patient Safety and Data Privacy (2)
- Children with Disabilities and Chronic Diseases: Perspectives, Challenges, and Opportunities (6)
- Exploring the Intersection of Internet Addiction and Pain Syndromes (1)
- Advancing Pharmacogenetics in Limited Resources Countries: Affordable Testing Methods, Genetic Variability, and Clinical Implications (1)
- Unraveling AI: The Use of Interactive AI, Conversational AI, and Generative AI in Teaching and Learning or Health and Care (1)
- Crosstalk in multidisciplinary approaches for evidence-based medicine (6)
Big Data and AI in Immune-Mediated Conditions: Bridging Systems Biology and Clinical Practice
Immune-mediated conditions, spanning panvascular diseases and metabolic disease, are driven by dysregulated immune mechanisms that challenge diagnosis and therapeutic precision. The integration of artificial intelligence (AI) and big data analytics has emerged as a transformative force in immunology and system biology. These datasets—rich in longitudinal health records, multi-omics profiles, and sociodemographic variables—provide unparalleled opportunities to uncover disease patterns and predict outcomes. This Article Collections highlights how AI-driven analyses of real-world and population-level data—from global cohorts to clinical registries—are redefining research and care in immune-mediated conditions.