About RAIIDIUS

Responsible AI for Infectious Disease Intervention, Understanding, & Surveillance

Our Mission

Artificial intelligence and informatics have the potential to transform how we study, prevent, diagnose, treat, and monitor infectious diseases. From AI-powered diagnostic tools and predictive models for outbreak detection to biomarker discovery, host–pathogen modeling, and translational research, these technologies offer unprecedented opportunities to accelerate scientific discovery and improve clinical and public health outcomes.

However, realizing this potential requires navigating significant challenges: data quality and availability constraints; siloed expertise across biological, translational, clinical, technical, and public health domains; concerns about model limitations and fairness; and the complexities of moving AI-enabled insights from discovery to real-world impact.

Infectious disease research increasingly spans molecular, experimental, translational, clinical, and population-level data. RAIIDIUS recognizes that AI and informatics can help connect these layers to generate new biological insight, improve mechanistic understanding, and accelerate the translation of discoveries into diagnostics, therapeutics, and prevention strategies.

RAIIDIUS was created to address these challenges by convening cross-disciplinary stakeholders to advance the responsible use of AI and informatics across the full spectrum of infectious disease research and action. Our symposium series provides a forum for researchers, clinicians, public health professionals, computational scientists, and other collaborators to share knowledge, discuss ethical considerations, and build partnerships spanning biological discovery, translational science, clinical care, and public health practice.

An Annual Series

Each year, RAIIDIUS focuses on a specific infectious disease domain, allowing for deep exploration of how AI and informatics can advance discovery, translation, and real-world impact in that area. Future topics may include respiratory viruses, antimicrobial resistance, emerging pathogens, cancer and infectious diseases, women’s health, and other areas where biological, translational, clinical, and public health perspectives intersect.

2026: Sexually Transmitted Infections (STIs)2027: Theme TBD

Anticipated Outcomes & Deliverables

Cross-Disciplinary Dialogue

Foster collaboration among AI researchers, biological and translational scientists, clinicians, epidemiologists, and public health professionals.

Early-Career Development

Provide exposure to AI and informatics methods, interdisciplinary perspectives, and professional development resources for trainees.

White Paper & Recommendations

Develop a summary document outlining key insights, recommendations, and next steps for AI and informatics across biological, translational, clinical, and public health infectious disease research.

Community Building

Establish a network of stakeholders committed to advancing responsible AI and informatics across the full spectrum of infectious disease discovery, translation, care, and public health action.

Our Values

Responsible AI

We prioritize ethical considerations, transparency, and accountability in AI development and deployment.

Healthcare For All

We are committed to ensuring that AI and informatics advance scientific discovery and real-world benefit across populations, settings, and stages of research and care.