📢 😊 Upcoming Webinar | Artificial Intelligence in Kidney Transplantation I am incredibly honored to be invited by the Thai Transplantation Society and the Organizing Committee of the 20th Congress of the Asian Society of Transplantation (CAST 2027) to speak at their upcoming webinar this Friday!  🎤 Topic: Artificial Intelligence in Kidney Transplantation: From Predictive Models to Precision Medicine and Agentic AI  During our session, we will explore how artificial intelligence is actively transforming kidney transplantation. Our discussion will focus on: 🔹 Predictive Analytics: Enhancing personalized risk assessment and outcomes prediction to improve patient care trajectories 🔹 Precision Medicine: Leveraging multimodal data to support highly individualized transplant care 🔹 Agentic AI: The emerging role of clinical AI agents and integrated workflows in safely assisting transplant teams I look forward to connecting with colleagues across Asia and globally to discuss the opportunities, clinical challenges, and the future of responsible AI integration into transplant care. Event Details: 📅 Date: Friday, October 16, 2026 ⏰ Time: 12:00 PM Bangkok (GMT+7) | 1:00 AM US Central 💻 Platform: Zoom Webinar (Free Registration)  🔗 Register by October 15: docs.google.com/forms/d/e/1F… My sincere thanks to Professor Yingyos Avihingsanon (President of the Thai Transplantation Society and Chairman of the Organizing Committee) and Professor Adis Tasanarong (Secretary General of CAST) for this very kind invitation and for hosting this important conversation.  Please join us and share this with any colleagues interested in the intersection of AI, nephrology, and transplantation! Wisit Cheungpasitporn, MD, FACP, FASN, FAST Professor of Medicine, Division of Nephrology and Hypertension AI Course Director, Mayo Clinic Alix School of Medicine Mayo Clinic, Minnesota  @MayoClinicNeph #ArtificialIntelligence #KidneyTransplantation #Transplantation #AgenticAI #PrecisionMedicine #Nephrology #DigitalHealth #CAST2027 #ThaiTransplantationSociety #MayoClinic

😊😃🙏🏻 Honored to be invited to join the Kidney International Editorial Board Luncheon at ASN Kidney Week 2026 in Denver! I look forward to learning more about the journal’s vision and future priorities, exchanging ideas with the editorial team and colleagues, and discussing how Kidney International can continue to advance impactful science and serve the global nephrology community. As a dedicated KI reviewer for studies involving AI and machine learning, I am particularly excited to discuss how we can rigorously evaluate these emerging innovations and shape the future of digital health research in nephrology. A sincere thank you to the Kidney International editorial team for the invitation. Looking forward to a fantastic discussion! 🏔️ Wisit Cheungpasitporn, MD, FACP, FASN, FAST @MayoClinicNeph Professor of Medicine, Division of Nephrology and Hypertension Mayo Clinic, Minnesota #KidneyWeek #ASN #KidneyInternational #Nephrology #ArtificialIntelligence #MachineLearning #MedicalPublishing #DigitalHealth #MayoClinic

🙏🏻😃 Thank you, AJKD, for highlighting our study in this thoughtful editorial. @AJKDonline We are grateful to see our work, “Deceased Donor Kidney Transplantation Versus Continued Dialysis Among Patients Aged 75 Years or Older: A Target Trial Emulation,” discussed in the September 2026 issue of the American Journal of Kidney Diseases. The editorial, “Kidney Transplant Decision-Making for Candidates Over Age 75: Insights From Target Trial Emulation,” provides important perspective on both the clinical implications and the methodological considerations of using target trial emulation to address a difficult question in older adults with kidney failure. ajkd.org/article/S0272-6386(… Our study suggests that among carefully selected wait-listed patients aged 75 years or older, deceased donor kidney transplantation may carry an early mortality trade-off but can provide a longer-term survival benefit. These findings reinforce the importance of individualized transplant evaluation and shared decision-making rather than using chronological age alone as a barrier to transplantation. 📖 American Journal of Kidney Diseases, Volume 88, Issue 3, September 2026 DOI: 10.1053/j.ajkd.2026.02.647 ajkd.org/article/S0272-6386(… Very grateful to our outstanding team: Napat Leeaphorn, Rose Mary Attieh, Katherine M. Oshel, Martin L. Mai, Mary Prendergast, Hani M. Wadei, Oscar A. Garcia Valencia, Wisit Cheungpasitporn, and Tambi Jarmi 📌 @napatlee1 @MayoClinicNeph And sincere thanks to Maria E. Montez Rath, Michelle C. Odden, and Manjula Kurella Tamura for the insightful accompanying editorial and for advancing the discussion around causal inference and kidney transplant decision-making in older adults. 📖 American Journal of Kidney Diseases, Volume 88, Issue 3, September 2026 DOI: 10.1053/j.ajkd.2026.02.647 #KidneyTransplant #Nephrology #Transplantation #Dialysis #TargetTrialEmulation #CausalInference #OlderAdults #SharedDecisionMaking #KidneyFailure #AJKD #MayoClinic

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

😃😊 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/S0272-6386(… 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

Honored and humbled to have our work featured in ASN In The Loop today! 🙏🗞️ Congratulations @rupeshrainamd @md_rupesh academic.oup.com/ckj/article… 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

Our @ASNKidney AI Community Forum is now live and was just featured in ASN In the Loop @asnpublications today! This is a major step forward — proudly led by our ASN AI Steering Committee, and aligned with our recent projects focused on building collaborative ecosystems in kidney AI. @kdpsinghlab @NavTangri The forum is designed to bring together clinicians, researchers, data scientists, and industry partners to exchange ideas, foster innovation, and accelerate the responsible integration of AI in nephrology. 📢 Please join us, explore the discussions, and invite your friends and colleagues to be part of this exciting movement. 😊🙏🏻#AI 🔗 Let’s build the future of AI in kidney care — together. #AIinNephrology #ASN #ArtificialIntelligence #KidneyInnovation #Nephrology #ASNCommunity @MayoClinicNeph @MayoClinic community.asn-online.org/com…

Excited to share our latest publication in the Clinical Kidney Journal! 📢 @CKJsocial @ERAkidney “Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis.” 👏🤝 Rupesh Raina @rupeshrainamd , Parth Shirode, Raghav Shah, Aanya Chepyala, Abhishek Tibrewal, Sidharth Kumar Sethi, and Wisit Cheungpasitporn. While AI is rapidly transforming adult nephrology, pediatric kidney care presents its own highly unique data challenges and clinical opportunities. In this new work, our team synthesized the current evidence on AI and machine learning models designed for the early detection of Acute Kidney Injury (AKI) in children. 💡 Key Takeaways: 🔹 The Promise: AI/ML models show immense potential for improved risk stratification and earlier, more precise detection of pediatric AKI. 🔹 The Hurdles: To achieve real-world impact, we must actively address the ongoing challenges in model generalizability, rigorous external validation, and seamless clinical workflow integration. Incredibly grateful to collaborate with such an outstanding team on this vital topic in pediatric kidney care! 🙏🏻 🔗 Read the full article here: doi.org/10.1093/ckj/sfag063 Wisit Cheungpasitporn, MD, FACP, FASN, FAST Clinician-Scientist & Professor of Medicine, Mayo Clinic @MayoClinicNeph Leading AI innovation in kidney care #PediatricNephrology #AKI #AIinMedicine #MachineLearning #KidneyCare #DigitalHealth #ClinicalResearch #MedicalInnovation

😊🙏🏻 A truly special evening—deeply grateful to receive the Mayo Fellows’ Association Teacher of the Year Award in Nephrology (2026) @MayoFellows @MayoClinicNeph @MayoClinic Teaching remains one of the most meaningful parts of what we do. To be recognized by fellows makes it especially humbling. 🙂 Very thankful to celebrate the night with mentors and colleagues who inspire me every day—Dr. Erickson, Jan, Dr. Iasmina Craici—and to have Dr. Oscar Garcia Valencia, an outstanding advanced fellow, colleague, and friend, there as well. @OscarGarciaMD 🙏🏻 Grateful for the opportunity to continue learning, teaching, and growing together. Wisit Cheungpasitporn, MD, FACP, FASN, FAST Clinician-Scientist & Professor of Medicine, Mayo Clinic