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Mengija Kang on Muck Rack

Mengija Kang

As seen in: medRxiv
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Articles

Developing and validating a machine learning model to predict successful next-day extubation in the ICU

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By Samuel W Fenske, Nikolay S. Markov, Alec Peltekian, Mengija Kang
| medRxiv
BDS holds US patent 10,905,706, "Compositions and methods to accelerate resolution of acute lung inflammation," and serves on the scientific advisory board of Zoe Biosciences, in which he holds stock options. Other authors have no conflicts within the area of this work. SCRIPT is supported by NIH/NIAID U19AI135964. Work in the Division of Pulmonary and Critical Care is also supported by SQLIFTS and the Canning Thoracic Institute. NSM is supported by AHA 24PRE1196998.
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