Genome-wide association analysis identifies ancestry-specific genetic variation associated with acute response to metformin and glipizide in SUGAR-MGH.

Link: https://doi.org/10.1007/s00125-023-05922-7 Authors: Li, Josephine H; Brenner, Laura N; Kaur, Varinderpal; Figueroa, Katherine; Schroeder, Philip; Huerta-Chagoya, Alicia; , ; , ; Udler, Miriam S; Leong, Aaron; Mercader, Josep M; Florez, Jose C Abstract: Characterisation of genetic variation that influences the response to glucose-lowering medications is instrumental to precision medicine for treatment of type 2 diabetes.…

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Quantitative prediction of right ventricular and size and function from the electrocardiogram.

Link: https://doi.org/10.1101/2023.04.25.23289130 Authors: Duong, Son Q; Vaid, Akhil; Vy, Ha My Thi; Butler, Liam R; Lampert, Joshua; Pass, Robert H; Charney, Alexander W; Narula, Jagat; Khera, Rohan; Greenspan, Hayit; Gelb, Bruce D; Do, Ron; Nadkarni, Girish Abstract: Right ventricular ejection fraction (RVEF) and end-diastolic volume (RVEDV) are not readily assessed through traditional modalities. Deep-learning enabled…

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Randomized Trial of Anticoagulation Strategies for Noncritically Ill Patients Hospitalized With COVID-19.

Link: https://doi.org/S0735-1097(23)04527-8 Authors: Stone, Gregg W; Farkouh, Michael E; Lala, Anuradha; Tinuoye, Elizabeth; Dressler, Ovidiu; Moreno, Pedro R; Palacios, Igor F; Goodman, Shaun G; Esper, Rodrigo B; Abizaid, Alexandre; Varade, Deepak; Betancur, Juan F; Ricalde, Alejandro; Payro, Gerardo; Castellano, José María; Hung, Ivan F N; Nadkarni, Girish N; Giustino, Gennaro; Godoy, Lucas C; Feinman, Jason;…

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Deep learning and the electrocardiogram: review of the current state-of-the-art.

Link: https://doi.org/10.1093/europace/euaa377 Authors: Somani, Sulaiman; Russak, Adam J; Richter, Felix; Zhao, Shan; Vaid, Akhil; Chaudhry, Fayzan; De Freitas, Jessica K; Naik, Nidhi; Miotto, Riccardo; Nadkarni, Girish N; Narula, Jagat; Argulian, Edgar; Glicksberg, Benjamin S Abstract: In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns…

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Natural Language Processing in Nephrology.

Link: https://doi.org/S1548-5595(22)00128-8 Authors: Van Vleck, Tielman T; Farrell, Douglas; Chan, Lili Abstract: Unstructured data in the electronic health records contain essential patient information. Natural language processing (NLP), teaching a computer to read, allows us to tap into these data without needing the time and effort of manual chart abstraction. The core first step for all…

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Whole genome sequence association with E-selectin levels reveals loss-of-function variant in African Americans.

Link: https://doi.org/10.1093/hmg/ddy360 Authors: Polfus, Linda M; Raffield, Laura M; Wheeler, Marsha M; Tracy, Russell P; Lange, Leslie A; Lettre, Guillaume; Miller, Amanda; Correa, Adolfo; Bowler, Russell P; Bis, Joshua C; Salimi, Shabnam; Jenny, Nancy Swords; Pankratz, Nathan; Wang, Biqi; Preuss, Michael H; Zhou, Lisheng; Moscati, Arden; Nadkarni, Girish N; Loos, Ruth J F; Zhong, Xue;…

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Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis.

Link: https://doi.org/10.1001/jama.2023.17002 Authors: , ; Grams, Morgan E; Coresh, Josef; Matsushita, Kunihiro; Ballew, Shoshana H; Sang, Yingying; Surapaneni, Aditya; Alencar de Pinho, Natalia; Anderson, Amanda; Appel, Lawrence J; Ärnlöv, Johan; Azizi, Fereidoun; Bansal, Nisha; Bell, Samira; Bilo, Henk J G; Brunskill, Nigel J; Carrero, Juan J; Chadban, Steve; Chalmers, John; Chen, Jing; Ciemins, Elizabeth; Cirillo,…

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In Response.

Link: https://doi.org/10.1213/ANE.0000000000003952 Authors: Hofer, Ira S; Levin, Matthew A; Simpao, Allan F; McCormick, Patrick J; Rothman, Brian Abstract:

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