Sam Lipworth

1.6K posts

Sam Lipworth

Sam Lipworth

@SamLipworth

ID/Micro registrar in Oxford and Academic Clinical Fellow @UniofOxford. Also choral singer and orchardist.

Oxford Katılım Ağustos 2009
1.3K Takip Edilen480 Takipçiler
Brad Spellberg
Brad Spellberg@BradSpellberg·
@ABsteward @DrToddLee Yeah i don’t get this. The one thing people are already comfortable with is oral transition for GNB infection. Which we have had RCT data for since the 80s-90s thanks to FQs.
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Dr Xin Hui Chan 🕊
Dr Xin Hui Chan 🕊@xhschan·
🕊️ 🌍 🌎 🌏 ⚕️🕊️ It's #OxTropMed24 this Friday at Lecture Theatre 2 at the John Radcliffe Hospital in Oxford and online via Teams. Come join @PaulTurnerMicro @lauren_hookham and me for a fun morning of bugs and drugs from around the world! 🧫 🦟 🦠 🪱 💊💉
Dr Xin Hui Chan 🕊 tweet media
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Will Matlock
Will Matlock@wtmatlock·
🚨 New preprint! 🚨 We reveal that blaTEM-1 expression varies across the E. coli phylogeny, driving differences in co-amoxiclav resistance: biorxiv.org/content/10.110…
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Sam Lipworth
Sam Lipworth@SamLipworth·
@linamacarmona Why is there a big change point in all specialties around 2019? Did the rules change then?
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Dr Rachel Clarke
Dr Rachel Clarke@doctor_oxford·
I’m simply horrified to see @NHSEngland now literally breaking the law in how it misrepresents physician associates & other allied health professional - who are NOT doctors - to the public. These posters are from the Bradford District & Craven Health & Care Partnership. 1/n
Dr Rachel Clarke tweet mediaDr Rachel Clarke tweet media
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Sam Lipworth
Sam Lipworth@SamLipworth·
Late to the party but a pretty good way to open my account on @BashTheBug run/walk/cycle 4000k (the number genes in TB apparently) @ModMedMicro. Won't be winning prizes for speed or distance, but might be in with a chance for best run view?
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Sam Lipworth
Sam Lipworth@SamLipworth·
We hope this contributes to the debate about how to annotate outputs from e.g. AMRFinder with information about the likely impact on phenotype, allowing ARGs to be categorised at a drug-bug level in an objective and principled manner. Thanks as always to @ModMedMicro colleagues.
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Sam Lipworth
Sam Lipworth@SamLipworth·
When we use this knowledge to make predictions about MIC, we predict 83.3% of MICs exactly and 95.2% to within 1 doubling dilution. Binarised predictive performance is comparable to recent machine learning papers.
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Sam Lipworth
Sam Lipworth@SamLipworth·
New preprint! "Estimating the effect of antimicrobial resistance genes on minimum inhibitory concentration in Escherichia coli" tinyurl.com/mkb3merf Thread:
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