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Fergus Fleming

Showing results (1-10 of 12) with videos related to

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Ambio|December 4, 2004
The Alps and the imaginationFergus Fleming
Clinical Proteomics|November 18, 2021
Analytical validation of a multi-biomarker algorithmic test for prediction of progressive kidney function decline in patients with early-stage kidney diseasePatricia Connolly, Sharon Stapleton, Gohar Mosoyan, et al.
Diabetes Care|November 11, 2025
Baseline Risk and Longitudinal Changes in kidneyintelX.dkd and Its Association With Kidney Outcomes in the CANVAS and CREDENCE TrialsErik Moedt, Steven G Coca, Katherine Edwards, et al.
Kidney360|October 17, 2022
A <i>Post Hoc</i> Analysis of KidneyIntelX and Cardiorenal Outcomes in Diabetic Kidney DiseaseGirish N Nadkarni, Dipti Takale, Bruce Neal, et al.
Kidney360|April 4, 2022
Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney OutcomesKinsuk Chauhan, Girish N Nadkarni, Fergus Fleming, et al.
American Journal of Nephrology|January 11, 2022
Clinical Utility of KidneyIntelX in Early Stages of Diabetic Kidney Disease in the CANVAS TrialDavid Lam, Girish N Nadkarni, Gohar Mosoyan, et al.
Diabetes, Obesity & Metabolism|September 18, 2023
Derivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progressionGirish N Nadkarni, Sharon Stapleton, Dipti Takale, et al.
Journal of Primary Care & Community Health|November 21, 2022
Real World Evidence and Clinical Utility of KidneyIntelX on Patients With Early-Stage Diabetic Kidney Disease: Interim Results on Decision Impact and OutcomesJoji Tokita, Aida Vega, Catherine Sinfield, et al.
Diabetologia|April 2, 2021
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney diseaseLili Chan, Girish N Nadkarni, Fergus Fleming, et al.
Diabetes, Obesity & Metabolism|June 28, 2026
Real-World Associations of KidneyIntelX Risk Stratification With Guideline-Directed Therapy, Kidney Outcomes, and Metabolic Trajectories in Early Diabetic Kidney DiseaseDavid Lam, Barry I Freedman, Joji Tokita, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Ambio|December 4, 2004
The Alps and the imaginationFergus Fleming
Clinical Proteomics|November 18, 2021
Analytical validation of a multi-biomarker algorithmic test for prediction of progressive kidney function decline in patients with early-stage kidney diseasePatricia Connolly, Sharon Stapleton, Gohar Mosoyan, et al.
Diabetes Care|November 11, 2025
Baseline Risk and Longitudinal Changes in kidneyintelX.dkd and Its Association With Kidney Outcomes in the CANVAS and CREDENCE TrialsErik Moedt, Steven G Coca, Katherine Edwards, et al.
Kidney360|October 17, 2022
A <i>Post Hoc</i> Analysis of KidneyIntelX and Cardiorenal Outcomes in Diabetic Kidney DiseaseGirish N Nadkarni, Dipti Takale, Bruce Neal, et al.
Kidney360|April 4, 2022
Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney OutcomesKinsuk Chauhan, Girish N Nadkarni, Fergus Fleming, et al.
American Journal of Nephrology|January 11, 2022
Clinical Utility of KidneyIntelX in Early Stages of Diabetic Kidney Disease in the CANVAS TrialDavid Lam, Girish N Nadkarni, Gohar Mosoyan, et al.
Diabetes, Obesity & Metabolism|September 18, 2023
Derivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progressionGirish N Nadkarni, Sharon Stapleton, Dipti Takale, et al.
Journal of Primary Care & Community Health|November 21, 2022
Real World Evidence and Clinical Utility of KidneyIntelX on Patients With Early-Stage Diabetic Kidney Disease: Interim Results on Decision Impact and OutcomesJoji Tokita, Aida Vega, Catherine Sinfield, et al.
Diabetologia|April 2, 2021
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney diseaseLili Chan, Girish N Nadkarni, Fergus Fleming, et al.
Diabetes, Obesity & Metabolism|June 28, 2026
Real-World Associations of KidneyIntelX Risk Stratification With Guideline-Directed Therapy, Kidney Outcomes, and Metabolic Trajectories in Early Diabetic Kidney DiseaseDavid Lam, Barry I Freedman, Joji Tokita, et al.
Pageof 2