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Mao, Michael A.

https://orcid.org/0000-0003-1814-7003

A5084120131 | I1330342723

Mayo Clinic

Citations 136

Exploring the Diversity of Clinical Profiles and Outcomes in Kidney Transplant Recipients with Limited Education Using Clustering Analysis

Journal of the American Society of Nephrology | May 18, 2024 | Volume: 34 | Issue: 11S | Pages: 411-411

10.1681/asn.20233411s1411c

Uncovering Subgroups of Diabetic Deceased Donor Kidney Transplant Recipients with Differing Outcomes Using Consensus Cluster Analysis

Journal of the American Society of Nephrology | May 18, 2024 | Volume: 34 | Issue: 11S | Pages: 411-411

10.1681/asn.20233411s1411b

Safety and Efficacy of Glucagon-Like Peptide-1 Receptor Agonists (GLP-1RAs) Among Patients with Type 2 Diabetes Mellitus (T2DM) and Advanced CKD and ESKD: A Systematic Review and Meta-Analysis

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 34 | Issue: 11S | Pages: 854-854

10.1681/asn.20233411s1854b

Bridging the Literacy Gap in Living Kidney Donation Information by ChatGPT

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 34 | Issue: 11S | Pages: 623-623

10.1681/asn.20233411s1623c

Distinct Characteristics of High Sensitized Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 33 | Issue: 11S | Pages: 834-834

10.1681/asn.20223311s1834c

Distinct Phenotypes of Kidney Retransplantation by Machine Learning Consensus Clustering in the United States

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 33 | Issue: 11S | Pages: 830-830

10.1681/asn.20223311s1830b

Multicenter Real-Life Experience With Tolvaptan Treatment in Patients With Autosomal Dominant Polycystic Kidney Disease

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 33 | Issue: 11S | Pages: 161-161

10.1681/asn.20223311s1161c

Phenotypes of Patients with Abnormal Phosphate on Admission by Consensus Clustering and Associated Mortality Risks

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 32 | Issue: 10S | Pages: 389-390

10.1681/asn.20213210s1389c

Identifying Hypernatremia Subgroups with Differing Survival by Machine Learning Among Hospitalized Patients

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 32 | Issue: 10S | Pages: 379-379

10.1681/asn.20213210s1379c

Clinically Distinct Subtypes of AKI on Hospital Admission Identified by Machine Learning Consensus Clustering

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 32 | Issue: 10S | Pages: 110-111

10.1681/asn.20213210s1110d