Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.

Link: https://doi.org/S0140-6736(22)02079-7 Authors: Forrest, Iain S; Petrazzini, Ben O; Duffy, Áine; Park, Joshua K; Marquez-Luna, Carla; Jordan, Daniel M; Rocheleau, Ghislain; Cho, Judy H; Rosenson, Robert S; Narula, Jagat; Nadkarni, Girish N; Do, Ron Abstract: Binary diagnosis of coronary artery disease does not preserve the complexity of disease or quantify its severity or its associated…

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Autoencoders for sample size estimation for fully connected neural network classifiers.

Link: https://doi.org/10.1038/s41746-022-00728-0 Authors: Gulamali, Faris F; Sawant, Ashwin S; Kovatch, Patricia; Glicksberg, Benjamin; Charney, Alexander; Nadkarni, Girish N; Oermann, Eric Abstract: Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning. Currently, estimating the quantity of labeled data needed to train a classifier to a desired…

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Cannabis Use and CKD: Epidemiological Associations and Mendelian Randomization.

Link: https://doi.org/10.1016/j.xkme.2022.100582 Authors: Dellepiane, Sergio; Paranjpe, Ishan; Rajagopal, Madhumitha; Kamat, Samir; O’Hagan, Ross; Gulamali, Faris; Rein, Joshua L; Charney, Alexander W; Do, Ron; Coca, Steven; Glicksberg, Benjamin S; Nadkarni, Girish N Abstract: The association between cannabis use and chronic kidney disease (CKD) is controversial. We aimed to assess association of CKD with cannabis use in…

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Molecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae.

Link: https://doi.org/10.1038/s41591-022-02107-4 Authors: Thompson, Ryan C; Simons, Nicole W; Wilkins, Lillian; Cheng, Esther; Del Valle, Diane Marie; Hoffman, Gabriel E; Cervia, Carlo; Fennessy, Brian; Mouskas, Konstantinos; Francoeur, Nancy J; Johnson, Jessica S; Lepow, Lauren; Le Berichel, Jessica; Chang, Christie; Beckmann, Aviva G; Wang, Ying-Chih; Nie, Kai; Zaki, Nicholas; Tuballes, Kevin; Barcessat, Vanessa; Cedillo, Mario A;…

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Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury.

Link: https://doi.org/S2949-8139(22)00001-5 Authors: Takkavatakarn, Kullaya; Hofer, Ira S Abstract: Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic procedures, and has a significant impact on morbidity and mortality. Early identification of high-risk patients and providing effective prevention and therapeutic approach are the main strategies for reducing the possibility…

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Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure.

Link: https://doi.org/10.1038/s41467-022-34216-6 Authors: Levin, Michael G; Tsao, Noah L; Singhal, Pankhuri; Liu, Chang; Vy, Ha My T; Paranjpe, Ishan; Backman, Joshua D; Bellomo, Tiffany R; Bone, William P; Biddinger, Kiran J; Hui, Qin; Dikilitas, Ozan; Satterfield, Benjamin A; Yang, Yifan; Morley, Michael P; Bradford, Yuki; Burke, Megan; Reza, Nosheen; Charest, Brian; , ; Judy, Renae…

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Epidemiology of Cutaneous Lupus Erythematosus Among Adults Over Four Decades (1976-2018): A Lupus Midwest Network (LUMEN) Study.

Link: https://doi.org/S0025-6196(22)00379-2 Authors: Hocaoğlu, Mehmet; Davis, Mark Denis P; Osei-Onomah, Shirley-Ann; Valenzuela-Almada, Maria O; Dabit, Jesse Y; Duong, Stephanie Q; Yang, Jeffrey X; Helmick, Charles G; Crowson, Cynthia; Duarte-García, Alí Abstract: To characterize the epidemiological trends and mortality of cutaneous lupus erythematosus (CLE) between 1976 and 2018 in Olmsted County, Minnesota. In this retrospective population-based…

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Unplanned 30-Day Readmission Rates for Autosomal Dominant Polycystic Kidney Disease: Insight from the Nationwide Readmissions Database.

Link: https://doi.org/10.1159/000526923 Authors: Saha, Aparna; Ericksen, Paulette; Liriano Cepin, Cristina; Nadkarni, Girish N; Chan, Lili Abstract: Among end-stage kidney disease (ESKD) patients on dialysis with autosomal dominant polycystic kidney disease (ADPKD), relatively little is known about the epidemiology and risk factors for 30-day readmissions in the USA. Therefore, we evaluated the 30-day unplanned readmission rates…

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