
Finn Catling
@finncatling
ICU doctor. @wellcometrust PhD researching personalised care using physiological models, Bayesian statistics & machine learning. Jazz piano enthusiast.
ID: 3071696583
https://www.imperial.ac.uk/people/f.catling 05-03-2015 07:01:44
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Massive Congratulations to Finn Catling benebenve and @NeunMax, today’s Transfer Team for completing NCL-ACTS 800th Critical Care Transfer!! Thank you so much to all our staff who’ve made this incredible milestone possible! Arndt Melzer Riaz Aziz🇵🇰🇸🇦 UCLH Geoff Bellingan NECCTAR Team


Using data from 127134 emergency laparotomies, our new study nature.com/articles/s4174… moves beyond point predictions to show the uncertainty around estimates of mortality risk. Work with Jakob Mathiszig-Lee Ramani and imperial.ac.uk/people/stephen… in npj Digital Medicine npj Journals

Finn Catling John George K Jakob Mathiszig-Lee Ramani npj Digital Medicine npj Journals This is exactly why I think "personalised medicine" (whatever that means) can't ever precisely predict how *individuals* will fare. We can only say how a group of patients that look like the patient in front of us do, on average.

I'm super proud of the paper myself and Finn Catling co-first authored along with excellent supervision from Ramani and Professor Stephen Brett. Over 127,000 patients from NELA (also on Bluesky @rcoa-cri.bsky.social) used to create a novel mortality risk calculator. Open Access. nature.com/articles/s4174…



A very elegant and clinically important modelling paper. “At work” we rely on the point estimates derived from the NELA score, making clinical decisions. But how does it influenced by missing values and how those result might change the point estimate? MohanBabu Muthuswamy SCCM Anesthesiology Section

New paper published in npj Digital Medicine highlighting uncertainty in emergency bowel surgery prediction models from S&C's Finn Catling Jakob Mathiszig-Lee Prof Stephen Brett and UCL's Ramani Find out more ⬇️ imperial.ac.uk/news/237135/hi…



Braving the rain on the #artery22 run this morning! Bruce Guest ARTERY Society VascAgeNet



In a Bayesian trial investigating a safe and inexpensive treatment (statins in COVID-19), what probability of a beneficial effect would be enough to change your practice: a) 21-day organ support-free days, incorporating mortality as the worst outcome Danny McAuley Anthony Gordon


A very generous write-up from the VPH Institute following my award vph-institute.org/news/vphi-best… Already looking forward to VPH2026!