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Virtual reality (VR), augmented reality (AR), and mixed reality (MR) are all examples of immersive technologies that improve data visualization and hence facilitate human connection. Stakeholders can be more effectively incorporated as essential members of the process with the aid of these technologies. Research on multidimensional genetic data processing for the development of better disease diagnostic and treatment procedures has begun to be influenced by immersive technologies. Some research aimed at addressing health and therapeutic requirements highlights the importance of immersive technologies, particularly for the creation of precision medicine. The research community has recently begun to pay attention to the possibility of employing immersive technology in the process of analyzing genetic data. Incorporating immersive technologies into the design of more realistic human-computer interactions that enable improved perception engagements is a primary focus of study in the field of genomic data analytics. Virtual reality and other forms of immersive technology have made it possible for people to believe that the digital world is just as real as the actual one. This leads to more accurate and error-free results from the learning process. However, there is a dearth of literature discussing the use of immersive technologies for healthcare and genomic data processing in specific digital health applications. This study contributes by giving a thorough analysis of the potential of immersive technologies in the field of digital health. Patient-centered apps, medical domain education, and data analysis (including genetic data visual analytics) are all examples of this type of software. As a case study for the gradual incorporation of immersive technologies into the field of genomic data analysis, we use the development of a visual analysis carried out with virtual reality (VR) as our focal point. Both the discussion and the conclusion provide a synopsis of the usability of the immersive technology applications that are already available, as well as their innovations and the future work that will be done in the field of healthcare and digital health data visual analytics.
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