HIGHLIGHTS
SUMMARY
The future development of personalized medicine is determined by the synergy of knowledge and efforts of scientists from several fields of medicine, physiology, mathematics, and computer science. Approaches based on signal processing, computer modeling, and machine_learning complement the main instrumental methods for studying biological processes and allow a deeper understanding of the mechanisms of human disease and personalized treatment strategies. Despite the increased popularity of artificial_intelligence, machine_learning, and signal processing approaches, a lot of effort still needs to be put into preparing them for clinical implementation. The rapid development of digitalization in medicine, the . . .
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