2026 AI CoLab Annual Scientific Meeting – March 16, 2026
2026 AI CoLab Annual Scientific Meeting – March 16, 2026 in Washington, DC
March 16, 2026
Join us in advancing artificial intelligence in healthcare research and education
Event Information
- What: 2026 AI CoLab Annual Scientific Meeting
- When: March 16, 2026
- Where: AI CoLab Location 2115 Wisconsin Ave, NW, Washington DC
Description
The AI CoLab Annual Scientific Meeting is a premier healthcare AI event focused on showcasing real-world applications of artificial intelligence in medical and clinical research. Hosted by the AI CoLab, this annual convening brings together leaders from healthcare, academia, industry, government, philanthropy, and technology to explore how AI is transforming health research, care delivery, and health outcomes. The AI CoLab Annual Scientific Meeting serves as both a knowledge exchange and a strategic platform for partnership development. This event blends the rigor of an academic scientific conference with the accessibility and energy of a strategic innovation showcase. It is designed for stakeholders seeking to understand where AI in healthcare is heading, identify credible research partners, and engage with a growing ecosystem shaping the future of AI-enabled medicine.
The program highlights AI-driven healthcare research, including machine learning in clinical decision support, digital twins, real-world data, health equity applications, regulatory science, and workforce development. Presentations emphasize applied use cases, translational impact, and scalable solutions rather than theoretical models alone. Attendees gain visibility into active and emerging AI healthcare research initiatives and learn how advanced analytics, data science, and artificial intelligence move from research environments into health systems and communities. The meeting also creates a shared space for dialogue across sectors, supporting collaboration between academic researchers, major technology companies, startups, public companies, government agencies, and philanthropic organizations.
Key Focus Areas:
- Artificial Intelligence in healthcare
- Medical AI research
- Clinical machine learning applications
- Healthcare data science
- Digital health innovation
- Health equity, transparent AI, and AI governance
- Translational research
Event Leadership & Organizers
Event Chairs: Nawar Shara, PhD & Peter McGarvey, PhD
Event Organizers: Sara Stienecker, Maryam Solimany, and Stephen Fernandez
Please direct logistical questions to Maryam.Solimany@medstar.net
