father, husband. @uofcneph @uchicago come for the ICU-Nephrology, stay for #nephBBQ. figuring things out one CRRT machine and one rack of ribs at a time.

Chicago IL
Joined February 2015
I know I’m old because podcasting makes me really happy A good hang with @keepingitrenal and @jaykoyner talking about AKI Follow-up and Recovery
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Happy @ASNKidney #Kidneyweek2027 Abstract Day to all who celebrate.
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While not a positive study, it was a positive experience and we learned a lot. Thanks to all those @uofcneph and @UW_ICU_DataSci who helped make it happen. There will be more to come; the story of using ML-risk scores to trigger AKI care is not over....
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It was a lot of work. Implementing a real-time machine-learning risk score in the EHR, identifying and enrolling high-risk patients before they had SCr-based AKI, randomizing them to a structured in-person nephrology consult. Excited to see it in press. ja.ma/44Wj6hm
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Inpatients at risk for #AcuteKidneyInjury identified by a machine-learning score did not benefit from early nephrology consultation, as changes in serum creatinine and outcomes were similar to usual care. ja.ma/44Wj6hm
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Jay Koyner retweeted
Have you registered yet? It’s going to be a terrific conference!
Come join the conversation on hypertension guidelines and novel drugs for complex hypertension in sunny San Diego!
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Today, we set up a whole new WiFi system in the house. It went as smooth as possible. But there was a 25-min period of total blackout, no WiFi, no nothing - so today I was just like those astronauts who were out of communication on the far side of the moon. Mission accomplished!
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Thrilled to announce that MIMIC-IV-Ext-CLIF is now available on physionet! Download today and accelerate your ICU data science- the Common Longitudinal ICU data Format (CLIF) consortium (1 M critical illness hospitalizations) will run any well coded project written using this resource!
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➡️ A Comprehensive Framework for Kidney Function Assessment: Summary of the NIDDK Re-imagining Kidney Function Assessment Workshop kireports.org/article/S2468-…
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Excited to see this work, collaboration with @UW_ICU_DataSci @uofcneph, on our deep learning recurrent neural network to predict severe AKI 2 days earlier than creatinine, published in @asnpublications. It is already implemented and validation studies are actively enrolling.
Multimodal AKI risk score accurately identifies patients who will develop Stage 2 AKI over two days earlier than serum creatinine alone. bit.ly/CJASN0695 #ASNCJASN
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Multimodal AKI risk score accurately identifies patients who will develop Stage 2 AKI over two days earlier than serum creatinine alone. bit.ly/CJASN0695 #ASNCJASN
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