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ABSTRACT
Personalized medicine is a young field of clinical investigation and patient treatment that concentrates on diagnosing and managing sickness by combining data from a person's multi-modal or multi-omics data to create patient-tailored decisions. Innovative tools were required to handle and comprehend the enormous and complicated datasets produced via use of diagnostic precision medicine procedures. Simultaneously, The field of computer science has advanced quickly to provide techniques that make it possible to store, handle, and analyze these large datasets—something that Early computer technologies and statistics were unable to do.The goal of machine learning, a subfield of artificial intelligence, is to find intricate/ that may be applied to sophisticated exploratory data analysis or to generate predictions or classifications on previously unknown data. A more thorough understanding of human health and illness may be attained through machine learning analysis of multimodal data used in precision medicine.
