Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning by Jocelyn R. Grunwell, Jocelyn R. Grunwell, Milad G. Rad, Michael J. Ripple, Michael J. Ripple, Nadir Yehya, Nadir Yehya, Hector R. Wong, Rishikesan Kamaleswaran, Rishikesan Kamaleswaran, Rishikesan Kamaleswaran

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Commentary: ‘Critical illness subclasses: all roads lead to Rome’ by Mihir R. Atreya, L. Nelson Sanchez-Pinto, Rishikesan Kamaleswaran

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Plasma metabolomics identifies differing endotypes of recurrent wheezing in preschool children differentiated by symptoms and social disadvantage by Anne M. Fitzpatrick, Jocelyn R. Grunwell, Hina Gaur, Seibi Kobara, Rishikesan Kamaleswaran

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Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients by Andrea Sikora, Hayoung Jeong, Mengyun Yu, Xianyan Chen, Brian Murray, Rishikesan Kamaleswaran

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A Novel Technique to Identify Intimate Partner Violence in a Hospital Setting by Azade Tabaie, Amy J. Zeidan, Dabney P. Evans, Randi N. Smith, Rishikesan Kamaleswaran

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Features derived from blood pressure and intracranial pressure predict elevated intracranial pressure events in critically ill children by Kassi Ackerman, Akram Mohammed, Lokesh Chinthala, Robert L. Davis, Rishikesan Kamaleswaran, Nadeem I. Shafi

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Functional immunophenotyping of children with critical status asthmaticus identifies differential gene expression responses in neutrophils exposed to a poly(I:C) stimulus by Jocelyn R. Grunwell, Milad G. Rad, Susan T. Stephenson, Ahmad F. Mohammad, Cydney Opolka, Anne M. Fitzpatrick, Rishikesan Kamaleswaran

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Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome by Mehak Arora, Carolyn M. Davis, Niraj R. Gowda, Dennis G. Foster, Angana Mondal, Craig M. Coopersmith, Rishikesan Kamaleswaran

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Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS by Mehak Arora, Stephen C. Zambrzycki, Joshua M. Levy, Annette Esper, Jennifer K. Frediani, Cassandra L. Quave, Facundo M. Fernández, Rishikesan Kamaleswaran

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Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients by Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran

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Bioenergetic Crisis in ICU-Acquired Weakness Gene Signatures Was Associated With Sepsis-Related Mortality: A Brief Report by Seibi Kobara, PT, MPH, Milad G. Rad, MS, Jocelyn R. Grunwell, PhD, Craig M. Coopersmith, MD, Rishikesan Kamaleswaran, PhD

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Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU by Andrea Sikora, Tianyi Zhang, David J. Murphy, Susan E. Smith, Brian Murray, Rishikesan Kamaleswaran, Xianyan Chen, Mitchell S. Buckley, Sandra Rowe, John W. Devlin

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Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit by Kirsten A. Cottrill, Milad G. Rad, Michael J. Ripple, Susan T. Stephenson, Ahmad F. Mohammad, Mallory Tidwell, Rishikesan Kamaleswaran, Anne M. Fitzpatrick, Jocelyn R. Grunwell

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Dysfunctional neutrophil type 1 interferon responses in preschool children with recurrent wheezing and IL-4–mediated aeroallergen sensitization by Anne M. Fitzpatrick, PhD, Min Huang, BS, Ahmad F. Mohammad, BS, Susan T. Stephenson, PhD, Rishikesan Kamaleswaran, PhD, Jocelyn R. Grunwell, MD, PhD

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Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model by Andrea Sikora, Alireza Rafiei, Milad Ghiasi Rad, Kelli Keats, Susan E. Smith, John W. Devlin, David J. Murphy, Brian Murray, Rishikesan Kamaleswaran, MRC-ICU Investigator Team

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ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports by Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman, Rishikesan Kamaleswaran

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RNA Sequencing Analysis of Monocytes Exposed to Airway Fluid From Children With Pediatric Acute Respiratory Distress Syndrome by Jocelyn R. Grunwell, MD, PhD, Min Huang, Susan T. Stephenson, PhD, Mallory Tidwell, RN, Michael J. Ripple, MD, PhD, Anne M. Fitzpatrick, PhD, Rishikesan Kamaleswaran, PhD

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A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers by Jesus Antonio Sanchez-Perez, John A. Berkebile, Brandi N. Nevius, Goktug C. Ozmen, Christopher J. Nichols, Venu G. Ganti, Samer A. Mabrouk, Gari D. Clifford, Rishikesan Kamaleswaran, David W. Wright, Omer T. Inan

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Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible by Tyler J. Loftus, Patrick J. Tighe, Tezcan Ozrazgat-Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R. Hogan, J. Randall Moorman, Gilbert R. Upchurch, Parisa Rashidi, Azra Bihorac

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Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. by Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac

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