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Joined February 2018
Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)Photo by CPPopt (@CPP_opt)
The President’s Commendation for a sustained contribution to the College was presented to Dr Rana Hafiz Ur Rehman. Dr Ari Ercole gave the Macintosh Professor Lecture. Seen here with President Dr Claire Shannon and Prof Iain Moppett. Read more: ow.ly/NsKo50UeHFx
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Wonderful news for a remarkable colleague, friend, and doctor.
Following recommendations from @NIAAResearch, we are pleased to announce that 2 Macintosh Professorships have been awarded. @RonelleMouton - RCoA & VASGBI Macintosh Professor @AriErcole - RCoA Macintosh Professor Congratulations both. ow.ly/4W9m50QoPzW
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Traumatic brain injury #TBI phenotypes from @CenterTBI #ICU data by probabilistic time-series clustering 𝗧𝗲𝗺𝗽𝗼𝗿𝗮𝗹 𝘃𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻 of brain injury 𝗯𝗶𝗼𝗺𝗮𝗿𝗸𝗲𝗿𝘀 = missing link in describing the 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 course authors.elsevier.com/c/1i5LY… @TheLancetNeuro
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ICP is strongly confounded by therapeutic intensity level (TIL) after #TBI. Measuring TIL crucial to understand severity Various TIL scores validated in @CenterTBI doi.org/10.1089/neu.2023.037… @TBI_data_guy nails TIL representing 'refractory' ICP: TILᵐᵉᵈ≥7.5
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A solution to the age-old problem of where to zero the transducer in neurocritical care... rdcu.be/dlTOs doi.org/10.1007/s12028-023-0…
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Does what happens in #ICU stay in ICU after #TBI? Well done @TBI_data_guy for time-series #machinelearning model ingesting 𝑎𝑙𝑙 @CenterTBI data with minimal pre-processing looking at contribution of clinical course events to outcome in @npjDigitalMed nature.com/articles/s41746-0…
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Precision medicine to improve outcome after traumatic brain injury: data-driven approaches to identify pathophysiological or pathobiological mechanisms to individualize treatments 🧠suggestions for #TBI phenotypes 🧠methodological considerations #FOAMcc 🔓 rdcu.be/dhtsr
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Machine learning and novel algorithmic techniques show great potential, but need to be applied and interpreted correctly Right question+right data+right method doi.org/10.1038/s41591-022-0… @CC4AIM
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Unsupervised clustering in @CenterTBI finds 6 stable endotypes of #TBI in the #ICU ⚠️Systemic metabolic stress important differentiating patients as well as traditional GCS classification doi.org/10.1186/s13054-022-0… rdcu.be/cSxc0
#TraumaticBrainInjury research often dichotomises outcomes. Here's how to handle ordinal outcomes from @shubhayu_neuro including a #machinelearning approach using 𝙖𝙡𝙡 the @CenterTBI features for best prediction doi.org/10.1371/journal.pone…
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Some 𝘷𝘦𝘳𝘺 important things to know about the challenges of large-scale observational data collection in #TBI from @CenterTBI doi.org/10.1007/s12028-022-0…
Primary analysis of @global_neuro Global Neurotrauma Outcomes Study #GNOS published tonight @TheLancetNeuro. thelancet.com/journals/laneu… Phenomenal collaboration of clinicians from 57 countries 🌍. #WFNS2022 #globalneurosurgery #globalneurotrauma #TBI
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Yes, and Cogitate study is one of the most read papers in 2021!!
Check out the most read papers from Journal of Neurotrauma. liebertpub.com/action/showMo…
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First ever prospective randomised controlled trial to assess feasibility and safety of a 'digital biomarker' for individualised care of #TBI patients on #ICU ➡️ both feasible and safe #COGITATE doi.org/10.1089/neu.2021.019…
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Glasgow Coma Score & pupil reactivity=crucial #TBI outcome determinants but timepoints frequently missing in real-world data Evaluation of methods for effective imputation by @CenterTBI... ... the answer depends on the question! doi.org/10.1371/journal.pone…
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There are many linear & non-linear methods for detecting causal relationships between signals. Which to use? ➡️turns out not all as robust as each other Caveat emptor! Mathematical review with code by @tedinburgh_ doi.org/10.1063/5.0053519 Code doi.org/10.5281/zenodo.47208…
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2️⃣ Individualising care of severe #TBI in the #ICU using autoregulation-guided precision care: the #COGITATE study from @AriErcole and also @aries_marcel , @DrSmielewski @GMeyfroidt and the @CPP_opt team at #naccs2021. One size does not fit all!
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DeepClean: a self-supervised algorithm to detect artefacts in physiological waveform data using Deep Generative Learning Well done @tedinburgh_ and thanks to @CCIMathInfo doi.org/10.1007/978-3-030-59…
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𝘊𝘢𝘷𝘦𝘢𝘵 𝘦𝘮𝘱𝘵𝘰𝘳... Not all methods for determining causality between time-series behave the same, as nicely demonstrated in this preprint by @tedinburgh_ arxiv.org/abs/2104.00718
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Large variation in how #ICUs use aggressive treatments for #TBI But patients who require 'high intensity' treatments can still have good outcomes: Such treatments should be chosen carefully however No place for nihilism! ccforum.biomedcentral.com/ar… doi.org/10.1186/s13054-020-0…
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