The Poultry Nutrition Blackbelt Podcast - Emmanuel Nuamah: Meta-Analysis in Poultry Nutrition | Ep. 150

In this episode of The Poultry Nutrition Blackbelt Podcast, Emmanuel Nuamah, Research Assistant at Jeonbuk National University in South Korea, explains how meta-analysis combines data from multiple studies to deliver more reliable, evidence-based nutritional strategies for broilers and layers. He walks through the full meta-analysis process, from the PICO framework to bias screening, and discusses how machine learning is making the method even more dynamic and powerful. Listen now on all major platforms!

What you'll learn:  

• Meta-analysis vs single trials
• PICO framework application
• Bias screening in studies
• AI role in meta-analysis
• Evidence-based nutrition strategies

Meet the guest:

Emmanuel Nuamah is a Research Assistant at Jeonbuk National University in South Korea, specializing in broiler and swine nutrition, digestive physiology, and meta-analysis. His work focuses on building evidence-based nutritional strategies from pooled study data. He holds a B.Sc. in Agriculture and an M.Phil. in Animal Science from the University of Cape Coast, Ghana. 

Connect with our guest on Social Media: LinkedIn

Learn more from Emmanuel Nuamah on The Poultry Nutrition Blackbelt, available on all major platforms.

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