AIIDIUS
Responsible AI for Infectious Disease
Intervention, Understanding, & Surveillance
About RAIIDIUS
RAIIDIUS is an annual symposium series advancing responsible AI and informatics for infectious diseases across biological discovery, translational research, clinical care, and public health. Each year, we bring together researchers, clinicians, public health professionals, data scientists, and other stakeholders to explore how AI and informatics can responsibly accelerate infectious disease discovery, improve clinical care, and strengthen public health action.
2026 Edition Focus: Sexually Transmitted Infections (STIs)
RAIIDIUS 2026 focuses on responsible AI and informatics for sexually transmitted infections, spanning biological discovery, translational research, clinical care, and public health practice. This edition brings together researchers, clinicians, public health professionals, and technologists to explore how AI can support STI diagnostics, surveillance, treatment, patient engagement, real-world implementation, and new scientific discovery.
What to Expect
RAIIDIUS features a dynamic program designed to facilitate learning, discussion, and collaboration.
Keynote Presentations
Hear from leading experts at the intersection of AI, informatics, and infectious diseases.
Panel & Q&A
Engage with diverse perspectives from clinicians, researchers, and community partners.
OHDSI Workshop Tutorial
Join a condensed tutorial inspired by Columbia’s OHDSI Summer School on observational health data science and real-world evidence.
Methods & Implementation
Learn practical AI and informatics approaches spanning biological discovery, translational science, and real-world clinical and public health implementation.
Poster Showcase
Explore cutting-edge trainee research in AI and informatics for infectious diseases.
Networking Reception
Connect with peers and build collaborations over refreshments.
Symposium Themes
Explore the key topics that will shape our discussions and presentations.
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.
Partners
CUIMC ID
The Division of Infectious Diseases at Columbia University Irving Medical Center (CUIMC) is devoted to excellence in patient care, research, and teaching, and to developing the next generation of leaders in academic medicine and public health.
AI@VP&S
The AI@VP&S Initiative at Columbia Vagelos College of Physicians and Surgeons (VP&S) spearheads innovative, safe, and responsible AI through collaborative research, transformative education, bi-directional community engagement, and patient-centered and clinician-supportive approaches.
ASTDA
The American Sexually Transmitted Diseases Association (ASTDA) aims to foster scientific knowledge, develop leadership, and champion practice in the field of sexually transmitted infections. ASTDA membership includes physicians, research scientists, nurses, public health professionals, and other STD investigators.
This Year With Grant Support From
American Sexually Transmitted Diseases Association (ASTDA)
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