4research
A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.21203/rs.3.rs-3424565/v1 Authors: Eoli, Andrea; Ibing, Susanne; Schurmann, Claudia; Nadkarni, Girish N; Heyne, Henrike; Böttinger, Erwin Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected 322…
Read MoreA clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.1101/2023.10.12.23296926 Authors: Eoli, A; Ibing, S; Schurmann, C; Nadkarni, G N; Heyne, H O; Böttinger, E Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected…
Read MoreImplications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Link: https://doi.org/10.7326/M23-0949 Authors: Vaid, Akhil; Sawant, Ashwin; Suarez-Farinas, Mayte; Lee, Juhee; Kaul, Sanjeev; Kovatch, Patricia; Freeman, Robert; Jiang, Joy; Jayaraman, Pushkala; Fayad, Zahi; Argulian, Edgar; Lerakis, Stamatios; Charney, Alexander W; Wang, Fei; Levin, Matthew; Glicksberg, Benjamin; Narula, Jagat; Hofer, Ira; Singh, Karandeep; Nadkarni, Girish N Abstract: Substantial effort has been directed toward demonstrating uses of…
Read MoreComparing ChatGPT and GPT-4 performance in USMLE soft skill assessments.
Link: https://doi.org/10.1038/s41598-023-43436-9 Authors: Brin, Dana; Sorin, Vera; Vaid, Akhil; Soroush, Ali; Glicksberg, Benjamin S; Charney, Alexander W; Nadkarni, Girish; Klang, Eyal Abstract: The United States Medical Licensing Examination (USMLE) has been a subject of performance study for artificial intelligence (AI) models. However, their performance on questions involving USMLE soft skills remains unexplored. This study aimed…
Read MoreClinical Informatics in Critical Care Medicine.
Link: https://doi.org/10.59249/WTTU3055 Authors: Nadkarni, Girish N; Sakhuja, Ankit Abstract: Continuous monitoring and treatment of patients in intensive care units generates vast amounts of data. Critical Care Medicine clinicians incorporate this continuously evolving data to make split-second, life or death decisions for management of these patients. Despite the abundance of data, it can be challenging to…
Read MoreAssociation of Racial Residential Segregation With Long-Term Outcomes and Readmissions After Out-of-Hospital Cardiac Arrest Among Medicare Beneficiaries.
Link: https://doi.org/10.1161/JAHA.123.030138 Authors: Abbott, Ethan E; Buckler, David G; Hsu, Jesse Y; Abella, Benjamin S; Richardson, Lynne D; Carr, Brendan G; Zebrowski, Alexis M Abstract: Background The national impact of racial residential segregation on out-of-hospital cardiac arrest outcomes after initial resuscitation remains poorly understood. We sought to characterize the association between measures of racial and…
Read MoreDerivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progression.
Link: https://doi.org/10.1111/dom.15273 Authors: Nadkarni, Girish N; Stapleton, Sharon; Takale, Dipti; Edwards, Katherine; Moran, Kara; Mosoyan, Gohar; Hansen, Michael K; Donovan, Michael J; Heerspink, Hiddo J L; Fleming, Fergus; Coca, Steven G Abstract: To develop and validate an updated version of KidneyIntelX (kidneyintelX.dkd) to stratify patients for risk of progression of diabetic kidney disease (DKD) stages…
Read MoreAutomated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Link: https://doi.org/10.1101/2023.09.10.23295315 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan Abstract: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess…
Read MoreDevelopment of a decentralized cohort for studying post-acute sequelae of COVID-19 in India in the Data4life Study.
Link: https://doi.org/10.1038/s43856-023-00349-y Authors: Schilling, Josh; Shokouhi, Sepideh; Montgomery, Aisha; Nadkarni, Girish N; Charney, Alexander W; Shanker, Anil; Singh, Rajbir; Jhaveri, Kenar; Singh, Karandeep S; Khadke, Prashant; Jain, Praduman Abstract: Decentralized, digital health studies can provide real-world evidence of the lasting effects of COVID-19 on physical, socioeconomic, psychological, and social determinant factors of health in India. Existing…
Read MoreCertain heterozygous variants in the kinase domain of the serine/threonine kinase NEK8 can cause an autosomal dominant form of polycystic kidney disease.
Link: https://doi.org/S0085-2538(23)00559-8 Authors: Claus, Laura R; Chen, Chuan; Stallworth, Jennifer; Turner, Joshua L; Slaats, Gisela G; Hawks, Alexandra L; Mabillard, Holly; Senum, Sarah R; Srikanth, Sujata; Flanagan-Steet, Heather; Louie, Raymond J; Silver, Josh; Lerner-Ellis, Jordan; Morel, Chantal; Mighton, Chloe; Sleutels, Frank; van Slegtenhorst, Marjon; van Ham, Tjakko; Brooks, Alice S; Dorresteijn, Eiske M; Barakat, Tahsin…
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