How do you turn unstructured social media conversations into publication-ready evidence in just 4 weeks?
In this case study, MadeAi partnered with the CSL HEOR team to identify and curate hereditary angioedema-related conversations from public online sources, with insights supporting a Value in Health Journal article. Using a structured social media listening approach, the team analyzed 3,069 records to uncover patient burden, challenges, and unmet needs.
See how structured analysis, SME expertise, and research-ready outputs came together to enable faster evidence generation.
Meet the Presenters
Kavin Xavier
Vice President – AI Solutions, CapeStart
With years of experience designing AI solutions for life sciences, Kavin leads CapeStart’s AI innovation roadmap.
Siva Karthick
Machine Learning Tech Lead, CapeStart
Siva specializes in model fine-tuning and evaluation, focusing on real-world deployment of AI in healthcare and pharma.
