Dr Rupesh Raina MD

An honour to be part of largest publication on HNF-4A Fanconi syndrome published this week in @KIReports ! This is an extremely rare disease with our case being the only case published ever from India: a rare progression Neonatal Hypoglycemia, Hyperinsulinism—-> Fanconi Syndrome—-> MODY early. Thanks to the collaborators ! @IPNA_Congress @AmerAcadPeds @IPNA_PedNeph @EspnYpnn @Alanepe1 @md_rupesh @rupeshrainamd @pcrrticonic @kalhasanksu @saudi_SSN Link to full text kireports.org/article/S2468-…

Looking forward

Think beyond filtration it is renal support not renal replacement pubmed.ncbi.nlm.nih.gov/42396238/ @sidsdoc @pcrrticonic @ASPNeph @ASNKidney360 @IPNA_PedNeph @NEOMEDedu @AkronChildrens

A recording of the IPNA Green Nephrology webinar will be available soon on the IPNA website as an open-access resource. theipna.org

IPNA green nephrology webinar up and running @IPNA_Congress @IPNA_PedNeph @ASPNeph @IptaPedsTx @ISNkidneycare @pcrrticonic @ASNKidney

pubmed.ncbi.nlm.nih.gov/42322619/ Nice article from LMIC PCRRT ICONIC group @sidsdoc @IPNA_PedNeph @IptaPedsTx @ISNkidneycare @ASNKidney @ASPNeph @pcrrticonic @AkronChildrens @NEOMEDedu

Wisit Cheungpasitporn, MD delivered an outstanding presentation on “Artificial Intelligence Innovations in Nephrology” at the 16th Serbian Diaspora Medical Conference in Belgrade, Serbia 🇷🇸 #Nephrology #ArtificialIntelligence #AIinHealthcare #MedicalInnovation @wisit661

An incredible day in Belgrade, Serbia! 🇷🇸✨ 😃🙏🏻 I am deeply honored to have served as an invited speaker today at the 16th Serbian Diaspora Medical Conference here in Belgrade, Serbia, where I had the privilege of presenting on Artificial Intelligence Innovations in Nephrology. It was a wonderful opportunity to exchange ideas with brilliant physicians, scientists, and healthcare leaders from Serbia and around the world. We had highly engaging discussions exploring how AI can advance patient care while strictly maintaining the human-centered principles of medicine. 💡 Key themes from our discussions included: 🔹 Elevating complex kidney care and clinical decision support 🔹 Reshaping modern medical education and training 🔹 Driving research innovation and global healthcare integration A massive thank you to the organizers and the Royal Serbian Medical Association for the incredibly warm welcome and hospitality. I look forward to future collaborations and continued innovation at the intersection of AI and nephrology! 🌍🤝 Wisit Cheungpasitporn, MD, FACP, FASN, FAST @MayoClinicNeph Professor of Medicine, Mayo Clinic Alix School of Medicine (MCASOM) Leading AI Innovation in Kidney Care #AI #ArtificialIntelligence #Nephrology #KidneyHealth #DigitalHealth #MedicalInnovation #MayoClinic #Belgrade #Serbia #HealthcareAI #MedicalEducation #ResearchInnovation #FutureOfMedicine

Samir what a proud moment - you are great mentor friend and educator!!! Wish you success and happiness @samirparikhmd

😃😊 Just wrapped up my presentation on “Agentic AI – Role in Education” here at the Mayo Clinic Faculty Development 2026 conference in Denver! 🏔️🎓 Thank you to everyone who attended and contributed to such a dynamic discussion. The thoughtful questions and insights from the room truly highlighted both the immense excitement and the profound responsibility that comes with integrating AI into medical training. 💡 During our session, we explored: 🔹 The Evidence: The current data supporting the use of AI agents in education. 🔹 Adaptive Pathways: Designing personalized learning and AI-powered coaching systems. 🔹 Cognitive Augmentation: How AI can actively stimulate deeper reading, critical thinking, and clinical reasoning. 🔹 The Reality Check: Navigating the real-world opportunities and limitations of agentic AI in healthcare training. My biggest takeaway from the morning: AI should never replace educators. Its true power lies in amplifying great teaching, personalizing the learning journey, and helping trainees develop stronger reasoning skills—all while keeping human mentorship firmly at the center. I am so encouraged by the enthusiasm from educators across Mayo Clinic and beyond as we collectively shape the future of medical education. Thank you to the Mayo Clinic School of Continuous Professional Development and all the participants for an outstanding session! Now, time to get outside and enjoy a bit of that crisp Colorado air! 🌲👟 Wisit Cheungpasitporn, MD, FACP, FASN, FAST @MayoClinicNeph Professor of Medicine & Clinician-Scientist, Mayo Clinic Leading AI Innovation in Kidney Care & Medical Education #MayoClinic #MedicalEducation #AgenticAI #ArtificialIntelligence #FacultyDevelopment #HealthProfessionsEducation #InnovationInEducation #FutureOfLearning #AIinMedicine #MedicalEducators #MedEd #Denver

😊🙏🏻 Happy to see our study highlighted in ASN In the Loop today! 🎉 Thank you to ASN @ASNKidney for featuring our recent publication in the American Journal of Kidney Diseases (AJKD): “Deceased Donor Kidney Transplantation Versus Continued Dialysis Among Patients Aged 75 Years or Older: A Target Trial Emulation.” 🔗 Article: ajkd.org/article/S0272-… This study addresses an increasingly important question in nephrology and transplant medicine: among carefully selected, transplant-eligible adults aged ≥75 years, what is the survival impact of deceased donor kidney transplantation compared with remaining on dialysis? Using a target trial emulation framework and national transplant registry data, we found that although transplantation was associated with an early postoperative mortality risk, a survival benefit emerged over time, with a break-even point around 3 years and a meaningful survival advantage by 5 years. Congratulations and sincere thanks to all of my co-authors: Napat Leeaphorn , Rose Mary Attieh, Katherine M. Oshel, Oscar A. Garcia Valencia, Wisit Cheungpasitporn, and Tambi Jarmi, along with all collaborators who contributed to this work. @napatlee1 @OscarGarciaMD @MayoClinicNeph Grateful to ASN In the Loop for helping disseminate new kidney research to the nephrology community and advancing evidence-based care for older adults with kidney failure. #Nephrology #KidneyTransplant #Transplantation #Dialysis #KidneyDisease #AJKD #TargetTrialEmulation #ClinicalResearch #ESKD #KidneyCare #ASN

Amazing work

In Vivo Base Editing of PCSK9 with VERVE-102 for Hypercholesterolemia | @NEJM @skathire @dramitkhera nejm.org/doi/full/10.10…

It’s out - our Green dialysis review article in Seminars of dialysis 🙏🏻 onlinelibrary.wiley.com/doi/10.1111/sd…

Subhash S, Pantelakis N, Backston K, Bajpai R, Safadi A, Petrovich B, Warady BA, de Ferris MD, Raina R. Bridging pediatric to adult care in cystinosis: a scoping review of healthcare transition of care protocols and a roadmap for future practice. BMC Nephrol. 2026

Papers on transition Alkhayri Z, Safadi R, Varghese A, Husein M, Tanna S, Mallyala SR, Rayarakula N, Vincent CL, Raina R. Pediatric to adult transition in chronic kidney disease: a scoping review. BMC Nephrol. 2026 May 6. doi: 10.1186/s12882-026-05019-4 @pcrrticonic @ASPNeph

Congrats what a proud moment

Thanks a lot for the opportunity @ASPNeph @IptaPedsTx @adqi_p @AAPneonatal @AkronChildrens @NEOMEDedu @pcrrticonic @IPNA_PedNeph

Thank you for your collaborations and including pediatric nephrology in AI @IPNA_PedNeph @asnpublications @ASPNeph @pcrrticonic @NEOMEDedu @AkronChildrens @IptaPedsTx @saudi_SSN @arwanadaa

Honored and humbled to have our work featured in ASN In The Loop today! 🙏🗞️ Congratulations @rupeshrainamd @md_rupesh academic.oup.com/ckj/article/19… Our systematic review and meta-analysis, "Artificial Intelligence for Predicting Pediatric Acute Kidney Injury," published in the Clinical Kidney Journal, evaluated 14 AI/ML models across 11 studies (encompassing 33,949 children) for the early prediction of pediatric AKI. 💡 Key Findings: 🔹 Top Performer (Discrimination): Gradient boosting achieved the highest pooled AUC (0.873). 🔹 Top Performer (Accuracy): Random forest demonstrated the highest median sensitivity (0.821) and specificity (0.942). 🔹 The Big Picture: While the data strongly highlights the incredible promise of AI in pediatric nephrology, it also underscores a critical next step: we must prioritize consistent reporting and rigorous external validation to safely bring these tools to the bedside. A huge thank you to my exceptional co-authors, mentors, and the Clinical Kidney Journal and ASN communities for this wonderful recognition. I am so excited to keep pushing the boundaries of what is possible with AI in kidney care! 🧠🫘 Wisit Cheungpasitporn, MD, FACP, FASN, FAST Clinician-Scientist & Professor of Medicine, Mayo Clinic #PediatricNephrology #AKI #AIinMedicine #MachineLearning #KidneyCare #DigitalHealth #ASNInTheLoop #FutureOfMedicine