“Precision Health: AI Tailored to Individuals”
https://bhi.embs.org/2025/call-for-workshops-and-tutorials/
The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), sponsored by the IEEE Engineering in Medicine and Biology Society (IEEE EMBS), is EMBS’s primary technical conference on informatics and computing in healthcare and life sciences. BHI 2025 will take place in Atlanta, Georgia, USA from October 26 – 29, 2025. It will provide a unique forum to showcase basic and translational research on big data analytics and machine learning that address challenges in the acquisition, transmission, processing, security, visualization, and interpretation of vast volumes of multi-modal biomedical data, as well as related social, behavioral, environmental, and geographical data. It will also demonstrate the deployment of BHI informatics solutions that integrate key technologies including artificial intelligence, machine learning, mHealth, e-Health, human-computer interface, telemedicine, bioinformatics, sensors, imaging, and public health monitoring, to achieve patient-centric and outcome-driven effective health care.
The program for BHI 2025 will feature workshop/tutorials that serve to bring new and emerging areas of interest to the BHI community (i.e., digital biomarkers, devices and sensors, hardware and software systems, large language models for biomedical and clinical research, cutting edge advances in AI for health, digital health, and more). Each workshop/tutorial may be delivered by a group of leading researchers in their respective areas. The duration of a workshop is expected to be a half day (approximately 3 hours). A scientific committee will be established by the workshop organizers to ensure the quality of presentations and materials offered to the registrants.
We are inviting proposals for the following two categories:
- Workshops will cover current and future trends in multi-disciplinary and cross-disciplinary areas of BHI, including but not limited to emerging trends in enabling technologies of devices and sensors, hardware and software systems, digital biomarkers, predictive models, databases, and big data analytics that optimize the acquisition, transmission, processing, monitoring, storage, retrieval, analysis, visualization and interpretation of vast volumes of multi-modal biomedical data, as well as related social, behavior, environmental, and geographical data. Workshop organizers will select a panel of reviewers for reviewing the presentations and materials offered to workshop registrants.
- Tutorials will provide reviews of a specific area related to health informatics, behavioral informatics, health data analytics, and health informatics education, including current research directions, challenges, and state-of-the-art practices, but may also involve registrants through hands-on experience or demonstrations. Tutorials can be organized by a company, a group of companies, or a group of leading researchers featuring presentations/papers/ panels.
The proposals can be submitted through the conference Web page or the following link: https://docs.google.com/forms/d/e/1FAIpQLSfi0Z3j7cKjTQq_BlBu9BQCeB5zjhdpP1W8EYI_-Cq4oTjpQQ/viewform
Paper Submission and Review
Presentations/papers/panels featured in workshops will not undergo review by the BHI 2025 TPC and will not appear in IEEE-Xplore Proceedings. Presentations and materials offered to workshop registrants will be reviewed by the reviewer panel selected by the workshop organizers. The organizers are fully responsible for ensuring the quality of the workshop content.
Workshop Promotion and Material for the Registrants
Workshop information (call for papers, program/speakers, etc.) will be provided on a dedicated page of the web site and will be updated accordingly. Workshop registrants will be able to download any material provided by the workshop organizer(s) from the workshop website. Workshop organizer(s) may provide additional materials such as handouts to the participants during the workshop.




April 17th, 2025
Daniela Lopez de Luise
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