Abstract

AI AND PRECISION ONCOLOGY: USING BIG DATA TO TAILOR CANCER TREATMENTS

Aryan Yelve*, Prajyot Kailas Narsale

Abstract

AI refers to the field of computer science that leads in creation of systems and machine. AI is transforming precision oncology by interfering how cancer is detected, diagnosed and treated. It focuses on ML (machine learning) to inspect major amounts of data which includes genomic information, medical imaging. AI helps in early detection and diagnosis through system that can determine medical imaging (CT Scan, MRI’s, etc) that detect tumours. Though in current scenario doctors are capable to treat individuals, AI helps to design individualized treatment plans by analysis of patient’s genetic profile by comparing it with big data for the identification of most effective therapies. Cancer is a large group of disease that happen when normal cell transform into cancerous cells that multiply and spread. Genes are responsible to instruct your cells when to start and stop growing. Cancer is the second most common cause of death in US. Innovative treatments such as AI and early diagnosis are curing cancer and helping people with cancer live on. Precision oncology is an innovative approach to cancer treatments that focuses to tailor therapies based on genetic molecular and environmental characteristics of each patients cancer. Oncology is involved at every stage of cancer from early detection in stage 0 to treatment and management of stage IV in cancer. Precision oncology enhances technologies (genomic sequencing biomarker testing and AI) to identify specific mutations and molecular profiles of cancer cells.

Keywords: Precision oncology, Artificial Intelligence, Machine Learning, Genomic sequencing, Biomarker discovery, Multi-Omics, Radiomics, Pathomics, Big data, Explainable AI(XAI).