Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.

Link: https://doi.org/10.1038/s41581-023-00744-7 Authors: Kashani, Kianoush B; Awdishu, Linda; Bagshaw, Sean M; Barreto, Erin F; Claure-Del Granado, Rolando; Evans, Barbara J; Forni, Lui G; Ghosh, Erina; Goldstein, Stuart L; Kane-Gill, Sandra L; Koola, Jejo; Koyner, Jay L; Liu, Mei; Murugan, Raghavan; Nadkarni, Girish N; Neyra, Javier A; Ninan, Jacob; Ostermann, Marlies; Pannu, Neesh; Rashidi, Parisa; Ronco,…

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A study of gene expression in the living human brain.

Link: https://doi.org/10.1101/2023.04.21.23288916 Authors: Liharska, Lora E; Park, You Jeong; Ziafat, Kimia; Wilkins, Lillian; Silk, Hannah; Linares, Lisa M; Vornholt, Eric; Sullivan, Brendan; Cohen, Vanessa; Kota, Prashant; Feng, Claudia; Cheng, Esther; Moya, Emily; Thompson, Ryan C; Johnson, Jessica S; Rieder, Marysia-Kolbe; Huang, Jia; Scarpa, Joseph; Hashemi, Alice; Polanco, Jairo; Levin, Matthew A; Nadkarni, Girish N; Sebra,…

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Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.

Link: https://doi.org/10.1101/2023.07.25.23293180 Authors: Kwak, Soo Heon; Hernandez-Cancela, Ryan B; DiCorpo, Daniel A; Condon, David E; Merino, Jordi; Wu, Peitao; Brody, Jennifer A; Yao, Jie; Guo, Xiuqing; Ahmadizar, Fariba; Meyer, Mariah; Sincan, Murat; Mercader, Josep M; Lee, Sujin; Haessler, Jeffrey; Vy, Ha My T; Lin, Zhaotong; Armstrong, Nicole D; Gu, Shaopeng; Tsao, Noah L; Lange, Leslie…

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A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes.

Link: https://doi.org/S2405-500X(23)00339-0 Authors: Lampert, Joshua; Vaid, Akhil; Whang, William; Koruth, Jacob; Miller, Marc A; Langan, Marie-Noelle; Musikantow, Daniel; Turagam, Mohit; Maan, Abhishek; Kawamura, Iwanari; Dukkipati, Srinivas; Nadkarni, Girish N; Reddy, Vivek Y Abstract: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they may lead to PVC-induced cardiomyopathy. We created a deep-learning algorithm to…

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Reversal of dual epigenetic repression of non-canonical Wnt-5a normalises diabetic corneal epithelial wound healing and stem cells.

Link: https://doi.org/10.1007/s00125-023-05960-1 Authors: Shah, Ruchi; Spektor, Tanya M; Weisenberger, Daniel J; Ding, Hui; Patil, Rameshwar; Amador, Cynthia; Song, Xue-Ying; Chun, Steven T; Inzalaco, Jake; Turjman, Sue; Ghiam, Sean; Jeong-Kim, Jiho; Tolstoff, Sasha; Yampolsky, Sabina V; Sawant, Onkar B; Rabinowitz, Yaron S; Maguen, Ezra; Hamrah, Pedram; Svendsen, Clive N; Saghizadeh, Mehrnoosh; Ljubimova, Julia Y; Kramerov, Andrei…

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Discrepancy between predicted and measured exercise intensity for eliciting the maximal rate of lipid oxidation.

Link: https://doi.org/S0939-4753(23)00283-1 Authors: Kittrell, Hannah D; DiMenna, Fred J; Arad, Avigdor D; Oh, Wonsuk; Hofer, Ira; Walker, Ryan W; Loos, Ruth J F; Albu, Jeanine B; Nadkarni, Girish N Abstract: Our results indicate that estimated “fat-burning” heart rate zones are inappropriate for prescribing exercise to elicit MLO and we recommend direct individual exercise lipid oxidation…

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Natural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics.

Link: https://doi.org/10.1101/2023.07.11.23292529 Authors: Soroush, Ali; Diamond, Courtney J; Zylberberg, Haley M; May, Benjamin; Tatonetti, Nicholas; Abrams, Julian A; Weng, Chunhua Abstract: To develop an automated natural language processing (NLP) method for extracting high-fidelity Barrett’s Esophagus (BE) endoscopic surveillance and treatment data from the electronic health record (EHR). Patients who underwent BE-related endoscopies between 2016 and…

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Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD.

Link: https://doi.org/10.34067/KID.0000000000000208 Authors: Vaid, Akhil; Takkavatakarn, Kullaya; Divers, Jasmin; Charytan, David M; Chan, Lili; Nadkarni, Girish N Abstract: Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and…

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Timing of invasive mechanical ventilation and death in critically ill adults with COVID-19: A multicenter cohort study.

Link: https://doi.org/10.1371/journal.pone.0285748 Authors: Green, Adam; Rachoin, Jean-Sebastien; Schorr, Christa; Dellinger, Phil; Casey, Jonathan D; Park, Isabel; Gupta, Shruti; Baron, Rebecca M; Shaefi, Shahzad; Hunter, Krystal; Leaf, David E; , Abstract: To investigate if the timing of initiation of invasive mechanical ventilation (IMV) for critically ill patients with COVID-19 is associated with mortality. The data for…

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