Data science has the power to move the needle on critical issues in healthcare and medicine, as well as shedding light on the biological basis of health and disease. State-of-the-art data science algorithms and techniques being developed and engineered across multiple communities can be leveraged to transform the healthcare sector, with the potential to improve quality of care to reduce cost of services provided to patients.
Data science, broadly defined, includes the tools, techniques, and theoretical underpinnings for enabling machine learning and artificial intelligence (AI) to extract “knowledge” from large, diverse, complex, longitudinal, and distributed data. Machine learning and AI have already led to significant successes in many health-related fields, including medical image classification, segmentation, prediction and decision making. The field of data science promises to accelerate the applications and successes, specifically by enabling the scaling to “big” and heterogenous data.
To address the research and translational advances and challenges in healthcare focused data science, we propose the inaugural IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Biology and Medicine to be held on 2023, Malta.
The conference aims to highlight and discuss the challenges and opportunities of Data Science innovations in healthcare, medicine and biology, and how these innovations can be translated into cutting-edge healthcare and biomedical engineering curricula.