Abstract

ADVANCED METHOD OF IMMUNOLOGICAL DISEASE DIAGNOSIS

*Sanskruti Banduji Gudadhe, Pranita P. Zodape, Prof. Vishnudas K. Lokhande, Dr.

Abstract

The advanced diagnosis of immunological diseases has significantly evolved with the integration of cutting-edge technologies, enhancing precision, speed, and accuracy in detecting immune system dysfunctions. These methods leverage molecular diagnostics, highthroughput sequencing, bioinformatics, and imaging technologies to identify biomarkers, genetic predispositions, and immune response anomalies. Techniques such as flow cytometry, multiplex immunoassays, next-generation sequencing (ngs), and machine learning-based diagnostic tools enable a comprehensive understanding of the immune landscape. Moreover, the application of omics approaches, including proteomics and transcriptomics, provides insights into disease mechanisms and personalized medicine. This review highlights the advancements in diagnostic techniques, their clinical implications, and the challenges in implementing them in routine clinical practice, emphasizing their role in improving patient outcomes for immunological diseases.

Keywords: Immunological diseases, advanced diagnostics, flow cytometry, multiplex immunoassays, next-generation sequencing (ngs), biomarkers, omics technologies, machine learning, personalized medicine.