Welcome to the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology.

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.
Important Dates:
Two Page Summary
October 2, 2023
Submission Deadline*
October 22, 2023
Accept/Reject Notification
October 27, 2023
Final Submission Deadline

All deadlines are 11:59pm USA (PST)

*no further extension
Conference Themes

Data Science in Healthcare
Data Science in Medical Imaging
Data Science in Digital Health Transformation
Data Science in Personalized Medicine
Data Science in Brain, Mind and Body
Data Science in Preventative Medicine

Data Science in Remote Monitoring, Diagnostics and Therapeutics
Data Science in Women’s Health
Data Science in Wellness and Remote Monitoring
Data Science in Immunology, Infectious and Chronic Diseases
Data Science in Biological/Physiological Modeling
Data Science in Complex and Heterogenous Data Harmonization