Artificial Intelligence to Improve Effectiveness of Clinical and Research Laboratories

Artificial intelligence (AI) is reshaping how clinical, core-research, and industrial laboratories deliver accurate, rapid, and reproducible results.

This webinar explores practical AI applications—from decision-support algorithms that guide test ordering and interpret complex results, to computer-vision tools that accelerate image analysis, to predictive analytics that optimize inventory and prevent supply-chain disruptions. Speakers will highlight proven use cases, implementation pitfalls, and governance considerations, giving attendees a roadmap for integrating AI to boost quality, efficiency, and compliance.

Primary target audience:

Laboratory researchers, core research laboratories of universities, clinical laboratories, teachers of reproducibility, biotech companies, industry supported researchers, and funders of projects.