Artificial Intelligence Multiomics in Precision Oncology (Original PDF from Publisher)

Artificial Intelligence Multiomics in Precision Oncology

Target therapy has been logically designed toward precision oncology thanks to developments in next-generation technology (NGS) and a thorough grasp of cancer biology. Today, there is a growing usage of machine learning approaches that incorporate artificial intelligence (AI) to address the issues of high dimensionality and scalability, as well as to convert multiomics data into information that can be used in clinical settings. In order to provide safe, high-value treatment, AI tools are utilized to enhance clinical efficiency and support clinical decision making. In order to improve cancer diagnosis and prognosis and increase cancer patient survival and prediction rates, this book offers a thorough examination of these methods and developments in AI-based clinical cancer research.