Data Science in Medical and Healthcare: Current Landscape.

Abstract

Data science is revolutionizing various industries and its impact on healthcare and life sciences is particularly profound. The vast amounts of data generated in these fields present both opportunities and challenges, necessitating professionals to extract insights and create value from these data resources. However, effective data-driven solutions in healthcare require a unique combination of technical data science skills and deep-domain expertise in areas such as medicine, public health, and sports science. This review discusses the growing importance of domain knowledge in data science and the need for interdisciplinary professionals who can bridge the gap between data analysis and practical applications in the healthcare sector. Furthermore, this paper highlights specific applications of data science in healthcare and life sciences, leveraging artificial intelligence (AI) and advanced computational methods. By integrating cutting-edge data science techniques with profound domain understanding, these applications aim to drive innovation, advance medical research, improve patient outcomes, and deepen our understanding of human health and well-being. Overall, this review underscores the synergies between data science and domain expertise in healthcare and life sciences, emphasizing the importance of interdisciplinary collaboration in unlocking the full potential of data-driven solutions in these critical fields.