John Dennis
@john_den_
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Associate Professor @ExeterMed - precision medicine, data science and diabetes #exeterdiabetes
Exeter, England
Joined July 2014
5-drug precision prescribing for people with type 2 diabetes is here - @TheLancet our @ExeterMedmodel for optimising glucose lowering therapy using low-cost routine clinical features .Paper: Web calc:
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RT @DUK_research: Next up on the stage of #DUKPC: Professor Ines Barroso @InesBarroso4 shares insights from her #research journey, showing….
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RT @DUK_research: Prof Andrew Hattersley’s powerful opener 💬 “I’ve been in diabetes research for 35 years and this is the most impactful an….
diabetes.org.uk
Developed by researchers at the University of Exeter, the tool has the potential to transform type 2 diabetes care worldwide, by helping millions to lower their blood sugar levels and risk of...
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RT @TheLancet: A five-drug class model using routinely available clinical features to optimise prescribing in type 2 diabetes: a prediction….
thelancet.com
We have developed a five-drug class model that uses routine clinical data to identify optimal glucose-lowering therapies for people with type 2 diabetes. Individuals on model-predicted optimal...
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RT @GoggleDocs: 📢 Can AI help pick the best glucose-lowering drug❓ "Computer says yes". 🔹 Machine-learning model predicts optimal therapy (….
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RT @DrLucyChambers: 💥Those of us working in science comms are perhaps too fond of the word "gamechanging" but this research by @john_den_ @….
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RT @Craig_Beall: We are hiring: a graduate research assistant and 2x postdocs for a diabetes project using advanced in vitro methods. Colla….
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RT @carogomezmartin: ‼️Kidney protection in diabetes:. Who is going to benefit more?. #EASD2024
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Fantastic #DataScience #PhD available @ExeterMed . Unlocking the Power of UK Hospital Data: Leveraging Machine Learning and Natural Language Processing for Clinical Research, with application in diabetes. Closing date 17th Sept - or DM for further details.
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RT @DiabetologiaJnl: Precision medicine in type 2 #diabetes: the causal analysis by Güdemann et al demonstrates that SGLT2 inhibitors are e….
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RT @Tufts_PACE: We found 14 re-analyses that delivered evidence that we considered both credible and clinically important. Many of these we….
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RT @DanielJDrucker: UK primary care data suggests SGLT2i are effective in adults aged ≥70 years, but increase risk for genital infections a….
link.springer.com
Diabetologia - Older adults are under-represented in trials, meaning the benefits and risks of glucose-lowering agents in this age group are unclear. The aim of this study was to assess the safety...
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RT @LancetDigitalH: New Comment from Katherine Young, John Dennis and Nicholas Thomas on the challenges of detecting childhood #diabetes in….
thelancet.com
Type 1 diabetes is a rare autoimmune condition with a prevalence in the UK of 0·2% in children and young people.1 Children with type 1 diabetes frequently present severely unwell and a quarter...
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RT @SarahIBEx: Congratulations @Exeter_Diabetes @uniofexeHLS 🥂. What an amazing scoop of awards at #DUKPC24 . Especially proud of our very….
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RT @markowetzlab: All models are wrong and yours are useless!. In case you missed my talk yesterday on how to make clinical prediction tool….
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RT @DiabetologiaJnl: Precision medicine in #type2diabetes: Cardoso et al develop a new approach for phenotype-based targeting of SGLT2-inhi….
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Sex differences in T2D drug response matter! .A greater glycaemic efficacy of GLP1-RA in females seen in our modelling study confirmed in GRADE RCT data (Liraglutide Male:female odds ratio glycaemic failure 1.63 [95%CI 1.20-2.22]) @ADA_Pubs @DiabetesUK .
diabetesjournals.org
OBJECTIVE. To describe the individual and joint associations of baseline factors with glycemia, and also with differential effectiveness of medications add
Precision medicine in type 2 diabetes - our new @ExeterMed paper in @DiabetologiaJnl developing a treatment selection model for GLP1-RA & SGLT2i treatments using Bayesian Causal Forests. Web calc using routine clinical features:
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Precision medicine in type 2 diabetes - our new @ExeterMed paper in @DiabetologiaJnl developing a treatment selection model for GLP1-RA & SGLT2i treatments using Bayesian Causal Forests. Web calc using routine clinical features:
Predicting the response to GLP-1RA and SGLT2i @DiabetologiaJnl #T2D Are women better responders, and/or better at taking the medicines? The MASTERMIND consortium .#diabetes.
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RT @DanielJDrucker: Insulin resistant vs. #insulin resistant phenotypes #T2D #diabetes Semaglutide vs. Dapagliflozin @NatMetabolism https:/….
nature.com
Nature Metabolism - Systematic evaluation of glucose control, body mass index, blood pressure, insulin secretion and insulin resistance is leveraged to identify patients who are likely to receive...
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