Abstract
Personalized medicine is one of the largely considered approaches toward an accurate and safer treatment. At the same time, the medicine domain alone cannot maintain the modest outlay of the personalized medicine-centered treatment. Somehow, the accuracy of the medication and diagnosis using personalized medicine is lower when manualized than when involving artificial intelligence. Machine learning is one of the mostly used artificial intelligence models in convergence with high-throughput technologies. Natural language processing and robotics in convergence with machine learning are highly regarded in practicing an effective personalized medicine. Though machine learning is in the scenario of precision medicine first followed by personalized medicine, it still has to be accepted in the society for better development. This chapter gives an insight into how and where the artificial intelligence is used in the personalized medicine.
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Srija, K., Prithvi, P.P.R., Saxena, A., Grover, A., Chandra, S., Jain, S.J. (2021). Artificial Intelligence in Personalized Medicine. In: Saxena, A., Chandra, S. (eds) Artificial Intelligence and Machine Learning in Healthcare . Springer, Singapore. https://doi.org/10.1007/978-981-16-0811-7_3
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