Medical Technology

@ESICM 1 year ago

1/ @yourICM's highlights: OPEN ACCESS ~ Climate responsibilities in #IntensiveCare medicine—let’s go green! An introduction to a new series in @yourICM https://rdcu.be/c0Ih3 #Machinelearning-derived #sepsis bundle of care https://rdcu.be/c0IhZ https://t.co/9Y28DO7Bze

@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

@bhavani_md 2 years ago

#NIH K23 funded @EmoryDeptofMed Thanks to Craig Coopersmith @ECCC May Wang @MLatGT Matt Churpek @UW_ICU_DataSci @DrPhilipVerhoef & countless others @UChicagoPCCM @EmoryPCCM Excited to work on identifying precision medicine approaches to #sepsis using #MachineLearning @nigms https://t.co/WMsqsDOUi5

@Michael_D_Moor 2 years ago

Preprint alert! Interested in #MachineLearning in #medicine and #sepsis? We developed and validated a #DeepLearning model for predicting sepsis across 5 ICU databases from 3 countries featuring 156k ICU stays and 783 patient years worth of monitoring data. A 🧵. 1/n https://t.co/4RL3UaXYIY

@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

@AGKBorgwardt 3 years ago

Karsten Borgwardt (@kmborgwardt from @ETH_en) is going to give a talk on "#MachineLearning in #Medicine: Early Recognition of #Sepsis" at the #CarnegieMellon-#Pitt-#UPMC Seminar tomorrow, April 14 at 3 PM EDT/ 9 PM CEST @SCSatCMU @PittTweet @UPMC https://www.cs.cmu.edu/calendar/wed-2021-04-14-1500/machine-learning-medicine-seminar

@JamesBell901 5 years ago

Better #Medicine Through #MachineLearning | @TEDxBoston https://buff.ly/2KR14pv Thank you, @SuchiSaria! I lost a sister to #sepsis a few years ago and have been seeking to identify potential technologies for the detection of early onset of sepsis. This is the most promising yet. https://t.co/NPx1yebeUG

@PennCHIBE 7 years ago

Researchers incl @AmolNavathe w/CHIBE are applying #machinelearning to improve #sepsis diagnosis & treatment #WSD16 https://t.co/Omh2MkGwR2