Call for Abstracts
Submit your research for presentation at RAIIDIUS 2026. We welcome abstracts on AI and informatics for infectious disease research across biological, translational, clinical, and public health domains.
Topics of Interest
We welcome submissions aligned with our symposium themes:
Biological Discovery & Translational Research
AI and informatics approaches for biomarker discovery, host–pathogen interactions, mechanistic infectious disease research, and translational science.
Diagnostics & Point-of-Care Testing
AI-powered diagnostic tools, computer vision for lesion identification, automated lab result interpretation.
Surveillance & Outbreak Detection
Real-time monitoring systems, predictive modeling for outbreak response, contact tracing optimization.
Predictive Modeling & Risk Stratification
Machine learning models for risk prediction, treatment response forecasting, resource allocation.
Ethical, Legal, and Social Implications
Interrogating important notions including trust, transparency, governance, alignment, and potential for harm.
Clinical, Public Health & Consumer-Facing Implementation
Real-world deployment challenges, workflow integration, scalable decision support, and patient/consumer-facing tools across translational, clinical, and public health applications.
Submission Guidelines
- Oral Presentation (15 minutes)
- Poster Presentation
Word Limit: 500 words maximum
Structure: Background, Methods, Results, Conclusions
Format: Plain text, no figures or tables in abstract
Submission Categories
Review Criteria
All submissions undergo peer review. Abstracts are evaluated on:
- Scientific merit and innovation
- Relevance to symposium themes
- Clarity of methodology and results
- Potential for real-world impact
- Quality of presentation materials
Key Dates
Poster Session
We especially encourage submissions from students, residents, clinical fellows, and postdoctoral researchers. The poster session provides an opportunity for trainees to showcase their AI and informatics research, receive feedback from experts, and network with peers in the field.
Frequently Asked Questions
Questions?
Contact us at raiidius@cumc.columbia.edu