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Research Article

EEO. 2021; 20(5): 1109-1117


The Role of Machine Learning in Cancer Genome Analysis for Precision Medicine

Dr. Chandra J, Nithya V, Alwin Joseph, Dr.M.Vijayakumar, Dr. Siddharthan S.

Abstract
Genome Analysis, the process of understanding the genome has a transformative impact on healthcare. There are different treatment methods for cancer but are not effective for all individuals, some treatment plans can bring a huge negative impact on the patient's health. Thus the importance of precision medicine comes into the picture. Precision medicine is a technique that focuses on providing the patient with the appropriate treatment measures, along with genome analysis with the help of machine learning can create customized treatment plans for the patients. This intelligent method of treatment planning can create customised treatment plans for cancer patients. Here, treatment will be given by identifying the specific DNA/RNA sequence and analyse them for an individual, to avoid the negative impacts during the treatment. The information obtained from the patient genome is analysed and is utilized to prepare the customised medication for the patient. Applying machine learning techniques on the genome and different scan images help to identify the severity of cancer in the patient, in order to plan the treatment. The outcome of the analysis of cancer genome with machine learning along with different scan details is to collect the right information which helps the doctors to address the issues effectively for identifying the problems with patients and to prepare the customised personal treatment plans.

Key words: Cancer Genome Analysis, Precision Medicine, Machine Learning, DNA, RNA sequencing, Efficient Treatment planning, Customised Medicine, Customized Treatment.



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