kidneyintelX.dkd
AI-enabled blood test predicting kidney function decline risk in diabetic kidney disease patients
Company profile
Company profile
Renalytix is focused on transforming kidney disease care with AI-powered solutions like KidneyIntelX, which provides data-driven insights for clinical teams.
Company description Renalytix official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Hybrid deployment with recorded integration context.
Recorded integration context: Clinical laboratory systems, Electronic Health Records (EHR).
Company milestones
FDA marketing authorization Q2 2023, Medicare coverage determination June 2024, partnership with Carna Health announced May 2026 for population-scale CKD management
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI-enabled blood test predicting kidney function decline risk in diabetic kidney disease patients
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Diabetes, obesity & metabolism · Jun 28, 2026
Cost-effectiveness analysis of a prognostic risk assessment for early-stage 1-3b diabetic kidney disease patients in the United States.Cost effectiveness and resource allocation : C/E · Jun 24, 2026
Baseline Risk and Longitudinal Changes in kidneyintelX.dkd and Its Association With Kidney Outcomes in the CANVAS and CREDENCE Trials.Diabetes care · Jan 1, 2026
A Real-World Precision Medicine Program Including the KidneyIntelX Test Effectively Changes Management Decisions and Outcomes for Patients With Early-Stage Diabetic Kidney Disease.Journal of primary care & community health · Jan 1, 2024
Derivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progression.Diabetes, obesity & metabolism · Dec 1, 2023
A Post Hoc Analysis of KidneyIntelX and Cardiorenal Outcomes in Diabetic Kidney Disease.Kidney360 · Sep 29, 2022
Clinical validation
NCT04791358 · Sponsor · ACTIVE NOT RECRUITING
Real World Evidence Clinical Utility Study of KidneyIntelXNCT04802395 · Sponsor · RECRUITING
Prospective Decision Impact Trial of KidneyIntelXNCT04960514 · Sponsor · ACTIVE NOT RECRUITING
Prospective Decision Impact Clinical Utility Trial of KidneyIntelXNCT05198284 · Sponsor · ACTIVE NOT RECRUITING
Regulatory
DEN200052 · De Novo · Jun 29, 2023
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
vs standard-of-care markers (eGFR and UACR) alone
for high-risk patients identified by test
for high-risk vs low-risk patients
in higher risk patients using KidneyIntelX technology
in higher risk patients
at 12-month mark
Risk stratification and guideline-directed therapy optimization for diabetic kidney disease patients
SGLT2 inhibitor use reached 70% in high-risk patients; 29% of retested patients moved to lower risk category; 43% improvement in eGFR decline rate over 2 years
Real-world evidence study for kidney disease risk stratification in type 2 diabetes patients with early-stage CKD
Part of 2,470 patient study showing sustained risk-stratified improvements; combination SGLT2i and GLP-1 RA therapy nearly tripled from 12% to 32%
HEDIS metric improvement in high-risk diabetic kidney disease patients
HbA1c levels declined from 8.3 to 7.5%; UACR levels reduced by 10-20%; patients meeting target metrics increased from 33% to 61% at 12-month mark
Risk stratification for diabetic kidney disease patients to enable targeted treatment and specialist referrals
High-risk patients 4.5X more likely to be prescribed SGLT2 inhibitors; 2.49X more likely to be referred to specialists
Implementation of kidneyintelX.dkd for early-stage diabetic kidney disease management
Clinical validation and implementation of kidney disease risk stratification using molecular mechanisms and patient data
05 · Leadership
Leadership profiles and professional links from the current Company record.
Elise Wilfinger
Chief Strategy & Marketing Officer
Dr. Aida Vega
Associate Professor of Medicine, Director of Mount Sinai Faculty Practice Associates Primary Care Program
Dr. David Lam
Co-Principal Investigator, Endocrinologist
Dr. Joji Tokita
Co-Principal Investigator, Nephrologist
Prof. Matthias Kretzler
Warner-Lambert/Parke-Davis Professor of Medicine
Joseph Vassalotti
Chief Medical Officer, National Kidney Foundation
Tarek Rabah
Vice President of U.S. Renal-Cardio, AstraZeneca
Graham Dyer
Author/Communications
06 · Company updates
Recent articles published on Renalytix's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI to optimize clinical trial design, accelerate patient recruitment, match patients to trials, predict trial outcomes, or improve clinical research efficiency. Includes patient enrollment and screening platforms, AI-powered trial matching, and tools that reduce the time and cost of bringing new treatments to market.
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