Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

RenalytixAI Initiates Clinical Validation Study of AI-Enabled KidneyinteIX for Diagnosing Fast-Progressing Kidney Disease

Validation Study to Assess Approximately 5,000 Patients with Participation from a Multi-Center Group of Leading U.S. Investigators

Renalytix AI plc (LON: RENX), a developer of artificial intelligence-enabled diagnostics for kidney disease, announced the start of its clinical validation study for its lead diagnostic, KidneyIntelX™. KidneyIntelX is designed to diagnose and improve clinical management of patients with Type II diabetes and those of African ancestry with fast-progressing kidney disease in an effort to curtail the estimated $114 billion cost1 of chronic and end-stage kidney disease to the United States healthcare system. As outlined at the time of IPO, RenalytixAI expects to commercially launch KidneyIntelX as a laboratory developed test in its CLIA2 laboratory facilities to health systems and drug developers in H2 2019.

The expanded validation study program now includes leading investigators from Johns Hopkins Medicine, Emory University, the Icahn School of Medicine at Mount SinaiNorthwestern UniversityHarvard University, and Brigham and Women’s Hospital. KidneyIntelX will use machine learning algorithms to assess the combination of predictive blood-based biomarkers, including sTNFR1, sTNFR2, and KIM1, in combination with electronic health record information.

Read More:  Interview With Maria Loupa, Account Director at Ballou PR

“The scale and clinical breadth of this validation provides a rare opportunity to evaluate how AI can aid our ability to detect fast-progressing kidney disease. KidneyIntelX will give doctors a powerful tool to identify which individuals with kidney disease are likely to progress to end-stage disease and should be treated more aggressively,” said Dr. Michael J. Donovan, Professor of Pathology, Icahn School of Medicine at Mount Sinai, and Chief Medical Officer of RenalytixAI.

“KidneyIntelX leverages three proven blood biomarkers validated in dozens of previous studies algorithmically combined with features from large electronic health record databases to identify progressive kidney disease. This approach can greatly improve the identification of patients at highest need of aggressive clinical intervention at any stage to slow or prevent progression to kidney failure,” said Dr. Barbara Murphy, Dean for Clinical Integration and Population Health, and Murray M. Rosenberg Professor and Chair, Samuel Bronfman Department of Medicine, Icahn School of Medicine at Mount Sinai, and Chair of the Scientific Advisory Board of RenalytixAI.

Related Posts
1 of 6,308

Read More: Interview With Sven Lubek, Managing Director at WeQ

Identification of patients with chronic kidney disease (CKD) who are at risk of, or are experiencing, rapid kidney function decline is challenging. However, the KidneyIntelX test will significantly improve the identification of these patients in the early stages of CKD, thereby improving care and outcomes for these patients through early initiation or escalation of treatment strategies.

The clinical validation will assess approximately 5,000 patient blood samples and electronic health records sourced from a multi-center collaboration including Emory University and Mount Sinai. Participating investigators include: Dr. Arshed Quyyumi, Director of the Emory Clinical Cardiovascular Research Institute; Dr. Chirag Parikh3, Director of Nephrology at Johns Hopkins; Dr. Joseph Bonventre, Director of Nephrology at Brigham and Women’s Hospital; Dr. Susan Quaggin3, Chief of Nephrology and Hypertension at Northwestern University; Dr. Tamara Isakova3, Director, Institute for Public Health and Medicine – Center for Translational Metabolism and Health, Associate Professor of Medicine (Nephrology and Hypertension) at Northwestern University; and Dr. John Quackenbush3, Chair of Biostatistics at HarvardMount Sinai investigators will include Dr. Michael J. Donovan, Professor of Pathology; Dr. Fadi El Salem, Associate Professor of Pathology; Dr. Steven Coca3, Associate Chair of Research for the Department of Medicine; and Dr. Girish Nadkarni3, Clinical Director of The Charles Bronfman Institute for Personalized Medicine, and Co-Director of Mount Sinai’s BioMeTM BioBank.

Read More: Interview with Scot Marcotte, Chief Technology Officer at Buck

“I’m pleased that Mount Sinai innovators and critical infrastructure such as BioMe BioBank significantly contribute to the advancement of diagnostics and prognostics for treating kidney disease,” said Dr. Erik Lium, Executive Vice President of Mount Sinai Innovation Partners. “Through this partnership with RenalytixAI and the combined resources of major medical centers to enhance the study, KidneyIntelX will address the needs of patients with impaired kidney function that may lead to renal failure.”

The expanded validation patient cohort increases the statistical power of KidneyIntelX and is expected to provide additional insight into the design of the planned clinical utility study. Data from the clinical validation study will also be used to support the submission of KidneyIntelX for U.S. Food and Drug Administration review in 2019.

Read More:  Facebook Realigns Marketing Policy to Support New ‘Ethical AI’ Research

  1. Duration: 3min. VOLKAN Turkish turk webcam cam 31 msn skype 69 ifsa.
    Duration: 89 sec. Türk ifşa izle ifşa resimleri türbanlı
    liseli türk porno ve yabancı porno. Duration: 54sec.

  2. Buy diabetes medication from a trusted source Dark web pharmacies
    for diabetes medications, which are reliable?
    Where can I find the best deals on diabetes medication online without a prescription? how to
    buy prescription drugs without a prescription

  3. This blog was… how do I say it? Relevant!! Finally I’ve found something that
    helped me. Kudos!

  4. alli sin receta en Ginebra says

    May I simply say what a comfort to discover a person that really knows what they are discussing over the internet.
    You certainly understand how to bring an issue to light and make it important.
    More people have to check this out and understand this side of your
    story. I can’t believe you are not more popular since you
    certainly possess the gift.

  5. Copper rod recycling says

    Copper scrap product development Copper scrap environmental regulations Metal scraps recovery
    Copper cable seller, Scrap metal end-user markets, Copper scrap reclamation projects

  6. I really like your blog.. very nice colors & theme. Did you make this website yourself or did you hire someone
    to do it for you? Plz answer back as I’m looking to design my
    own blog and would like to know where u got this from. thanks a lot

Leave A Reply

Your email address will not be published.