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@CAMDA_conf 11 months ago
Join leading researchers at #CAMDA'23! Top keynotes by Karsten Borgwardt on predicting medical complications by #MachineLearning & Edward Feil on antimicrobial resistance! Submit your best by 18 May http://camda.info @maxplanckpress @kmborgwardt @EpicFeil_ #AMR #OneHealth https://t.co/7rpS7jK4BH
@AGKBorgwardt 2 years ago
Tomorrow, November 15 at 9:10 AM CET, @kmborgwardt will deliver a keynote talk at #CIBB2021 on "Predicting medical complications in intensive care: early recognition of #Sepsis using #MachineLearning" https://davidechicco.github.io/cibb2021/index.html https://t.co/dLRJa6QBQJ
@kmborgwardt 2 years ago
New article for anyone interested in predicting #sepsis (or other medical complications): "Early Prediction of Sepsis in the ICU Using #MachineLearning: A Systematic Review" https://www.frontiersin.org/article/10.3389/fmed.2021.607952 w/ @Michael_D_Moor @Pseudomanifold @ExpectationMax @Jutzeler_Cathy @AGKBorgwardt
@UniOulu 3 years ago
New method allows non-contact detection of possible skin complications of #diabetes at an early stage as well as to perform broad population screening. Check publication @IEEEorg transactions on #Medical #imagining #optoelectronics #machinelearning https://www.oulu.fi/en/news/new-method-reveals-skin-complications-diabetes