Author(s) :

Kashif Hussain, Maria Kausar, Talha Khan , Aqdas-Ul-Hassan.

Volume/Issue :

Abstract :

Machine learning and artificial intelligence (AI) have greatly impacted the healthcare system in many ways. Technological advancement has made it possible to analyze large datasets quickly and manageably. Artificial intelligence helps in early diagnosis, finding novel therapeutic targets and biomarkers, and evaluating drug resistance. Precision oncology's future has been entirely altered by the advent of next-generation sequencing (NGS) systems, which help in risk assessment, early disease recognition, sequencing-based diagnosis, medical imaging, precise prognosis, identification of biomarkers, and identification of therapeutic targets for new drug discovery. These AI-powered applications advance cancer prognostication and diagnosis using NGS and high-resolution medical imaging. Notwithstanding technological advancements, AI has difficulties and constraints, and the clinical use of NGS needs further validation. Precision oncology and artificial intelligence have a bright future if innovation and technology go further.

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5