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315 results on '"Nadkarni GN"'

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1. SGLT2 Inhibitors: Emerging Roles in the Protection Against Cardiovascular and Kidney Disease Among Diabetic Patients

2. A first update on mapping the human genetic architecture of COVID-19

4. Mapping the human genetic architecture of COVID-19

5. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

6. Conversion of urine protein-creatinine ratio or urine dipstick to urine albumin-creatinine ratio for use in CKD screening and prognosis

7. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

8. Adiposity and risk of decline in glomerular filtration rate : Meta-analysis of individual participant data in a global consortium

9. Human loss-of-function variants suggest that partial LRRK2 reduction is not associated with severe disease

10. Serum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis

11. Blood Pressure Lowering and Risk of Mortality in Chronic Kidney Disease: A Meta2 Analysis of Randomized Controlled Trials

15. A catalog of genetic loci associated with kidney function from analyses of a million individuals

16. Relationship of eGFR and Albuminuria to concurrent laboratory abnormalities: An individual participant data meta-analysis in a global consortium

17. Exploring the role of Large Language Models in haematology: A focused review of applications, benefits and limitations.

18. Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.

19. Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.

20. Assessing GPT-4 multimodal performance in radiological image analysis.

21. Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

22. Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population.

23. Distinguishing neonatal culture-negative sepsis from rule-out sepsis with artificial intelligence-derived graphs.

24. Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections.

26. Development and Validation of a Policy Tree Approach for Optimizing Intravenous Fluids in Critically Ill Patients with Sepsis and Acute Kidney Injury.

27. A foundational transformer leveraging full night, multichannel sleep study data accurately classifies sleep stages.

28. Role of artificial intelligence in critical care nutrition support and research.

29. Evaluating prompt engineering on GPT-3.5's performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4.

30. Author Correction: Divergent landscapes of A-to-I editing in postmortem and living human brain.

31. Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.

32. Neuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study.

33. Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study.

34. Divergent landscapes of A-to-I editing in postmortem and living human brain.

35. Applications of large language models in psychiatry: a systematic review.

36. Accurate prediction of neurologic changes in critically ill infants using pose AI.

37. Postoperative Acute Kidney Injury is Associated with Persistent Renal Dysfunction: A Multicenter Propensity Matched Cohort Study.

38. Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system.

39. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression.

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

41. Genome-first evaluation with exome sequence and clinical data uncovers underdiagnosed genetic disorders in a large healthcare system.

42. Multiomic foundations of human prefrontal cortex tissue function.

43. Machine Learning Quantification of Pulmonary Regurgitation Fraction from Echocardiography.

44. Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis.

45. Divergent landscapes of A-to-I editing in postmortem and living human brain.

46. Characterizing cell type specific transcriptional differences between the living and postmortem human brain.

47. A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.

48. Integrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury.

49. Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.

50. Utilizing large language models in breast cancer management: systematic review.

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