The Impact of Artificial Intelligence on Cancer Biomarker Detection and Analysis

Abstract

AI has transformed biomarker discovery, assessment, and response in oncology. Cancer is one of the leading causes of mortality and disability globally, making accurate, early, and personalized diagnostic tools essential. AI-based methods are revolutionizing biomarker discovery by enhancing genomic, proteomic, metabolomic, and imaging data processing, pattern recognition, and prediction. Discover the latest AI-powered cancer biomarker discovery, characterization, and clinical application. This study will examine AI's usage in cancer care, including early identification, precise prognosis, therapeutic response prediction, and more. A review was done to discover relevant peer-reviewed literature. We selected publications on AIdriven biomarker creation in various cancers that fulfilled exclusion and inclusion criteria. AI, notably ML, DL, and radiomics, improved biomarker detection. These methods have improved biomarker sensitivity and specificity across several cancer types to improve clinical decision-making and therapy personalization. This study shows how AI might transform cancer biomarker discovery and use. Strong evidence for AI-based biomarkers in clinical oncology promotes precision medicine, early intervention, and optimal therapy courses.

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