Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Michael J. Davenport

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Validity of EHR-Derived Phenotypes for Outcome Ascertainment in the PRESERVE Trial: Implications for Embedding RCTs in Healthcare Systems

Randomized controlled trials (RCTs) are crucial for determining effective interventions but are costly, time-consuming, and complex. Electronic health records (EHRs) offer the potential to enhance research using clinical data, reducing costs and improving efficiency. We evaluated the accuracy of EHR-derived phenotypes...

S. Leatherman, Sonia T. Anand, Michael J. Davenport et al. · 0 citations
Open access Sep 2026

Population-Adjusted Survival: A Real-World, Epidemiologic Approach for Analyzing Time-to-Event Clinical Trial Data

Results of a clinical trial may misrepresent the target population. Inappropriate inclusion/exclusion criteria, selective recruitment, and differential participation may restrict the number of patients who consent to join the study. Frequently, they differ from the real-world population in terms of key outcome-related...

J. Efird, Genevieve N. Dupuis, Yuk-Ming Choi et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.