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Digital Health - What Can We Expect From AI in Regenerative Medicine


Digital Health is a conglomerate of several complementary advancements in computational sciences, artificial intelligence (AI), big data analysis, the OMICS fields as well as biomedical technologies with the overall aim to improve the health of individuals and the society’s well-being.

Digital Health is a conglomerate of several complementary advancements in computational sciences, artificial intelligence (AI), big data analysis, the OMICS fields as well as biomedical technologies with the overall aim to improve the health of individuals and the society’s well-being. 

Digital Health might succeed with its promise to completely revolutionize the entire healthcare system. This is particularly important when considering challenges such as shortage of doctors, limited healthcare resources and rising demands from an aging population in the developed world, but similar important in the developing countries due to the lack of developed infrastructure. Analyzing volumes of data and scanning for patterns and relationships AI is an apt technological tool for big data management that could impact and support personalized medicine in areas such as regenerative medicine, prediction of therapeutic compounds by deep learning and AI-assisted 3D bioprinting.
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