Biomarkers for Early Disease Detection: Advancements in Predictive Medicine and Diagnostic Testing

Manish Gupta

doi:10.36676/urr.v11.i3.1281

Authors

Dr. Manish Gupta Assistant Professor, St. John's Medical College, Bengaluru

DOI:

https://doi.org/10.36676/urr.v11.i3.1281

Keywords:

Biomarkers, Predictive, Medicine, Disease, Testing

Abstract

Biomarkers have emerged as invaluable tools in predictive medicine and diagnostic testing, revolutionizing our approach to early disease detection. This paper examines recent advancements in biomarker research and their implications for identifying diseases at their earliest stages. Through genomic, proteomic, metabolic, and microbiome-based biomarkers, coupled with the power of liquid biopsies and artificial intelligence, clinicians can now detect diseases with unprecedented accuracy and timeliness. We explore the role of genomic biomarkers, such as BRCA1/BRCA2 mutations, proteomic markers like PSA for prostate cancer, and metabolic indicators such as blood glucose levels for diabetes. Liquid biopsies offer non-invasive methods for detecting early-stage cancers and monitoring treatment response. Microbiome-based biomarkers illuminate the intricate relationship between microbial communities and disease states.

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