Road to CEPAS 2026
A 26-week public series on AI and neonatal sepsis prediction, built toward a 20-minute talk in Lyon on 31 October 2026. Twelve essays. One growing literature base. One honest argument.
Prediction is not the same as clinical utility.
The field can predict late-onset sepsis in preterm neonates reasonably well. It has been able to for years. There is no shortage of models with respectable ROC curves, and our group has contributed to that pile.
What no one has done is build the bridge from prediction to clinical utility. We have models. We do not have validated response protocols. We do not have implementation data at scale. We do not have answers to the question that follows every alarm: now what?
That gap is the subject of this series, and the central argument of the talk in Lyon.
Twelve essays through October. One postscript from Lyon.
Every search, every paper, every choice — archived here.
From Episode 02 onwards, the evidence work behind every essay lives on this page. PubMed queries with their results. Extraction tables with their data. Methodological choices with their reasoning. By the time of the talk, you should be able to see the full chain of reasoning from raw literature to final slide — and copy the workflow if it helps you.
The series begins with framing. The literature base begins with the search.
A research method, made visible.
The series is built with Claude as a research and writing partner. Not as decoration — as the actual working method. PubMed searches, paper extraction, evidence tables, regulatory mapping, slide logic.
Every essay includes a "How I used Claude" section showing exactly where the AI helped and where it didn't. The methodology is the second deliverable. If you want to replicate it for your own field, everything you need will be here by October.
Lyon, 31 October 2026.
Big data, AI and sepsis prediction opportunities in the NICU
A 20-minute talk for the Omics in Sepsis session at CEPAS 2026 — the first Congress of the European Paediatric Academic Societies.