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- W4307718111 abstract "AbstractPersonalized medicine involves the practice to deliver customized service to the recipients based on some specific factors related to the patients. Knowledge of proper genetic information, lifestyle, and environment may help to select the proper therapy, dose, or regimen. Precision medicine has the potential to modify the treatment procedure as per the requirement of the individual patients by ensuring the maximum therapeutic value with an increased safety margin. Nature-inspired computing (NIC) allows the development of new computational techniques by observing the naturally occurring phenomenon to solve complex problems in different environmental settings. The last decade has proven the application of NIC and artificial intelligence (AI) techniques in the development of personalized medicine specifically for the identification of disease patterns and their proper therapy for précised treatment. The control of adverse drug reactions and enzyme metabolism differences in individuals is also considered by advanced NIC and AI computing tools. They aid in solving various problems of personalized medicine including the diagnosis of disease and their treatments. The theory and applications of selected nature-inspired algorithms for precision medicine are reviewed, together with practical applications and a discussion of their advantages and limitations.KeywordsNature-inspired computingAlgorithmPersonalized medicineDiagnosisPrediction" @default.
- W4307718111 created "2022-11-05" @default.
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- W4307718111 date "2022-11-01" @default.
- W4307718111 modified "2023-10-14" @default.
- W4307718111 title "Applications of Nature-Inspired Computing and Artificial Intelligence Algorithms in Solving Personalized Therapy Complications" @default.
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- W4307718111 doi "https://doi.org/10.1007/978-981-19-6379-7_11" @default.
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