Innovative technologies in precision healthcare

Precision medicine is the intersection of data science, analytics, and biomedicine in creating a healthy learning system that conducts research in the context of clinical care while optimizing the tools and information used to provide better outcomes for patients. Emerging technologies represent a novel, innovative, and fast-evolving trend within a particular field. Among the latest trends as virtual reality, robotics, wearable, and implantable sensors, and removable tattoos, together with nanotechnologies, 3D printing, and others are considered. In addition, new advanced computing technologies including artificial intelligence, machine learning (ML), big data mining, and cloud computing form an integral part of personalized healthcare. Personalized medicine is not necessarily the same as precision medicine. From the point of view of technology development, precision medicine is an intermediate step to personalized medicine, which will be much more complex and will require even more data. There is a big challenge to combine multiomics approaches in analysis, as we can see in bioinformatics that there are a lot of techniques in one area. Analysis of more than one area such as the genome, transcriptome even microbiome, starts exponentially grown on science field. The integration of multiomics data analysis and machine learning can have led to the discovery of new biomarkers, and improve of differential diagnostics of latent diseases. In this chapter, we describe the use of emerging technologies as well as bioengineering and ML for precision healthcare.