A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19.

Link: https://doi.org/S0933-3657(23)00264-6 Authors: Oh, Wonsuk; Jayaraman, Pushkala; Tandon, Pranai; Chaddha, Udit S; Kovatch, Patricia; Charney, Alexander W; Glicksberg, Benjamin S; Nadkarni, Girish N Abstract: Computational subphenotyping, a data-driven approach to understanding disease subtypes, is a prominent topic in medical research. Numerous ongoing studies are dedicated to developing advanced computational subphenotyping methods for cross-sectional data. However,…

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Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4.

Link: https://doi.org/10.1186/s12882-023-03424-7 Authors: Takkavatakarn, Kullaya; Oh, Wonsuk; Cheng, Ella; Nadkarni, Girish N; Chan, Lili Abstract: End-stage kidney disease (ESKD) is associated with increased morbidity and mortality. Identifying patients with stage 4 CKD (CKD4) at risk of rapid progression to ESKD remains challenging. Accurate prediction of CKD4 progression can improve patient outcomes by improving advanced care…

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Deep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy.

Link: https://doi.org/10.3390/diagnostics13243613 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: Gastric cancer (GC), a significant health burden worldwide, is typically diagnosed in the advanced stages due to its non-specific symptoms and complex morphological features. Deep learning (DL) has shown potential for improving and standardizing early GC detection. This systematic review…

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Joint Modeling of Social Determinants and Clinical Factors to Define Subphenotypes in Out-of-Hospital Cardiac Arrest Survival: Cluster Analysis.

Link: https://doi.org/10.2196/51844 Authors: Abbott, Ethan E; Oh, Wonsuk; Dai, Yang; Feuer, Cole; Chan, Lili; Carr, Brendan G; Nadkarni, Girish N Abstract: Machine learning clustering offers an unbiased approach to better understand the interactions of complex social and clinical variables via integrative subphenotypes, an approach not studied in out-of-hospital cardiac arrest (OHCA). We conducted a cluster…

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Post-operative urinary retention is impacted by neuromuscular block reversal agent choice: A retrospective cohort study in US hospital setting.

Link: https://doi.org/S0952-8180(23)00294-5 Authors: Bash, Lori D; Turzhitsky, Vladimir; Mark, Robert J; Hofer, Ira S; Weingarten, Toby N Abstract: Perioperative neuromuscular blocking agents are pharmacologically reversed to minimize complications associated with residual neuromuscular block. Neuromuscular block reversal with anticholinesterases (e.g., neostigmine) require coadministration of an anticholinergic agent (e.g., glycopyrrolate) to mitigate muscarinic activity; however, sugammadex, devoid…

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Effects of Mirikizumab on Histologic Resolution of Crohn’s Disease in a Randomized Controlled Phase 2 Trial.

Link: https://doi.org/10.1016/j.cgh.2023.11.010 Authors: Magro, Fernando; Protic, Marijana; De Hertogh, Gert; Chan, Lai Shan; Pollack, Paul; Jairath, Vipul; Carlier, Hilde; Hon, Emily; Feagan, Brian G; Harpaz, Noam; Pai, Rish; Reinisch, Walter Abstract: Histologic evaluation of mucosal healing in Crohn’s disease is an evolving treatment target. We evaluated histologic outcomes for mirikizumab efficacy and associations with endoscopic…

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Development of the ehive Digital Health App: Protocol for a Centralized Research Platform.

Link: https://doi.org/10.2196/49204 Authors: Hirten, Robert P; Danieletto, Matteo; Landell, Kyle; Zweig, Micol; Golden, Eddye; Orlov, Georgy; Rodrigues, Jovita; Alleva, Eugenia; Ensari, Ipek; Bottinger, Erwin; Nadkarni, Girish N; Fuchs, Thomas J; Fayad, Zahi A Abstract: The increasing use of smartphones, wearables, and connected devices has enabled the increasing application of digital technologies for research. Remote digital…

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Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study.

Link: https://doi.org/10.1016/j.bjao.2023.100236 Authors: Epstein, Richard H; Perez, Olivia F; Hofer, Ira S; Renew, J Ross; Brull, Sorin J; Nemes, Réka Abstract: International guidelines recommend quantitative neuromuscular monitoring when administering neuromuscular blocking agents. The train-of-four count is important for determining the depth of block and appropriate reversal agents and doses. However, identifying valid compound motor action…

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