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.
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.
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.
Episode 02 added: the seven academic groups doing continuous-physiology machine-learning work on late-onset sepsis prediction in preterm infants, plus the two systematic reviews that frame the field. Full methodology log with verbatim PubMed queries is on the Episode 02 search page.
Episode 03 added: the eight-dimension comparative deep-read of the four anchor papers — Berg 2023, Kausch 2023, Yang 2024, Meeus 2024 — across cohort design, signal stack, ML methodology, validation, performance, alarm policy, limitations, and contributions. The full grid, with the three supporting-cast papers and licensing notes, is on the Episode 03 comparison page.
Episode 04 added: the same two decisions — signal stack and alarm policy — turned onto our own paper, Berg 2023, read against its supplement. The detection-fraction-versus-precision framing, the sensitivity of the headline recall to the refractory period and true-positive window (supplement Tables S3, S7, S8), the blood-culture-time proxy, and an unresolved supplementary CRP discrepancy are set out on the Episode 04 methodology log.
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. The Episode 02 methodology log is the first full receipt.
A 20-minute talk for the Omics in Sepsis session at CEPAS 2026 — the first Congress of the European Paediatric Academic Societies.