Bioinformatics as Applied to Medicine

Abstract

The emerging advances of Bioinformatics have already contributed toward the establishment of better next generation medicine and medical systems by putting emphasis on improvement of prognosis, diagnosis and therapy of diseases including better management of medical systems. The purpose of this chapter is to explore ways by which the use of Bioinformatics and Smart Data Analysis will provide an overview and solutions to challenges in the fields of genomics, medicine and Health Informatics. The focus of this chapter would be on Smart Data Analysis and ways needed to filter out the noise. The chapter addresses challenges researchers and data analysts are facing in terms of the developed computational methods used to extract insights from NGS and high-throughput screening data. In this chapter the concept “Wise Data” is proposed reflecting the distinction between individual health and wellness on the one hand, and social improvement, cohesion and sustainability on the other, leading to more effective medical systems, healthier individuals and more socially cohesive societies.

Advancing precision medicine in medical education: Integrated, precise and data‐driven smart solutions

“…As previously pointed out by Papadopoulou et al [15] smart data analysis will open new avenues if combined with declines in the cost of generating genomic and proteomic data. New jobs in healthcare systems will be created.…”

“…It is a fact, that the emerging advances of “Next Generation Sequencing” and the rapid expansion of the Bioinformatics field and computational methods, “Data Mining” and “Machine Learning” will help us improve prognosis, diagnosis, and therapy of diseases but we also need to move from a data management organizational culture to a learning organization culture [15]. This perspective requires better collaboration and communication to a wider community of stakeholders capable of integrating into their practices the Precision Medicine approach.…”

“…It has become clear that the adoption of Precision Medicine requires an integrated approach which combines knowledge from genetic and molecular techniques, bioinformatics, medical informatics and good knowledge of healthcare information systems with various economic, social, political and cultural factors [15]. Bridging Precision Medicine with Medical Education via proper communication can positively contribute to disease and health problems prevention, screening, treatment, patient literacy, Digital Health, and Healthcare [16].…”

“…Papadopoulou et al [15] have proposed the concept of “Wise Data” as a solution toward wise decisions which should not necessarily be focused on market imperatives to achieve more efficient medical systems, social cohesion, and improvement of the health of individuals. By combining the recent advances in Bioinformatics and in Healthcare Informatics this study points out ways to improve medical education, management, and practices both at the national and global level.…”

“…At the same time vigilance and preparedness are required to overcome educational, technological, practical, regulatory, and infrastructure obstacles related to new medical practices and processes for clinical adoption to be possible. Papadopoulou et al [15] have proposed the concept of "Wise Data" as a solution toward wise decisions which should not necessarily be focused on market imperatives to achieve more efficient medical systems, social cohesion, and improvement of the health of individuals. By combining the recent advances in Bioinformatics and in Healthcare Informatics this study points out ways to improve medical education, management, and practices both at the national and global level.…”