Journal of Clinical & Medical Genomics

Integrating Cancer Genomics with Artificial Intelligence for Predictive Analytics

Abstract

Lyon Mangos

Cancer remains one of the leading causes of death globally, with over
18 million new cases and 9.6 million deaths reported annually. Despite the
progress made in understanding its molecular and genetic underpinnings,
effective treatment remains a challenge due to the inherent complexity
and heterogeneity of the disease. The advent of cancer genomics has
revolutionized cancer research and clinical practice by providing insights into
the genetic mutations, alterations, and pathways that drive tumorigenesis and
disease progression. However, while genomic data has the potential to offer
personalized therapeutic strategies, the sheer volume and complexity of this
information present significant challenges in its interpretation and application.