Dr Rupesh Raina MD

Dr. Rupesh Raina is an Adult-Pediatric Kidney Disease/Hypertension Nephrologist

[Dr Rupesh Raina MD @rupeshrainamd]

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

[UT Southwestern Internal Medicine @UTSWInternalMed]

Join us in congratulating @samirparikhmd, Professor and Chief of the Division of Nephrology, on being appointed Chair of Internal Medicine! @UTSWMedCenter https://t.co/aQEfMk3IQ4

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

😃😊 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

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

😊🙏🏻 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: https://t.co/ZzSVe1flWr

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

[Dr Rupesh Raina MD @rupeshrainamd]

Amazing work

[Katalin Susztak @KSusztak]

In Vivo Base Editing of PCSK9 with VERVE-102 for Hypercholesterolemia | @NEJM @skathire @dramitkhera https://t.co/SshQHizpCV

[Katalin Susztak @KSusztak]

In Vivo Base Editing of PCSK9 with VERVE-102 for Hypercholesterolemia | @NEJM @skathire @dramitkhera https://t.co/SshQHizpCV

[Rasha Darwish @Rasha_Darwish_]

It’s out - our Green dialysis review article in Seminars of dialysis 🙏🏻 https://t.co/8TaiPFctBy

[Dr Rupesh Raina MD @rupeshrainamd]

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

[Dr Rupesh Raina MD @rupeshrainamd]

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

[Dr Rupesh Raina MD @rupeshrainamd]

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

[Dr Rupesh Raina MD @rupeshrainamd]

Congrats what a proud moment

[Katalin Susztak @KSusztak]

The 270th commencement of @UPenn @Penn @PennEngineers is about to get started…

[Dr Rupesh Raina MD @rupeshrainamd]

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

[Kenar Jhaveri @kdjhaveri]

ASN Kidney News May 2026 Biofilter-Based Continuous Kidney Replacement Therapy in Pediatric Acute Kidney Injury: Tailoring Technology for Small Patients --Pranav Sivaram @rupeshrainamd

https://t.co/Cef6SXOia4 @asnpublications

[Dr Rupesh Raina MD @rupeshrainamd]

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

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

Honored and humbled to have our work featured in ASN In The Loop today! 🙏🗞️

Congratulations @rupeshrainamd @md_rupesh

https://t.co/WPDNXESYKC

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

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

Honored and humbled to have our work featured in ASN In The Loop today! 🙏🗞️

Congratulations @rupeshrainamd @md_rupesh

https://t.co/WPDNXESYKC

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

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

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

https://t.co/ILL9uw0xXC

[Mayo Clinic Nephrology @MayoClinicNeph]

“Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis.” @CKJsocial @ERAkidney

https://t.co/4FVrVdsNhU

📍 Rupesh Raina @rupeshrainamd , Wisit Cheungpasitporn @wisit661

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

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: https://t.co/uUytYjugJC

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

[Dr Rupesh Raina MD @rupeshrainamd]

More

[Dr Rupesh Raina MD @rupeshrainamd]

We are Ready for Graduation all council of Deans @NEOMEDedu @IPNA_PedNeph @pcrrticonic @ASNKidney360

[Dr Rupesh Raina MD @rupeshrainamd]

We are Ready for Graduation all council of Deans @NEOMEDedu @IPNA_PedNeph @pcrrticonic @ASNKidney360

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

😊🙏🏻 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

[Dr Rupesh Raina MD @rupeshrainamd]

So honored all
The best to the Neomed Class of 2026 @NEOMEDedu @akronefro @ASPNeph @IptaPedsTx @pcrrticonic @IPNA_PedNeph

[Dr Rupesh Raina MD @rupeshrainamd]

You are the best

[Wisit Cheungpasitporn MD FACP | FASN | FAST @wisit661]

🌟😃🙏🏻 Truly honored to receive this recognition earlier this week as a 2025 Top Performer in Patient Experience. @MayoClinicNeph

Kidney care has always been at the core of what I do. Beyond diagnostics and management, it is about listening carefully, building trust, and standing with patients and their families through complex, often lifelong journeys. This is what defines great nephrology and, more broadly, great medicine.

Education and research remain essential pillars of my work, but they must always connect back to patient care—translating innovation and knowledge into meaningful, tangible impact right at the bedside.
I am so grateful for this encouragement. It reinforces the responsibility to keep improving, keep learning, and continue striving to deliver the highest standard of care every single day. 😃🤗🙏🏻

Wisit Cheungpasitporn, MD, FACP, FASN, FAST
Clinician-Scientist & Professor of Medicine, Mayo Clinic
#PatientExperience #PatientCare #Nephrology #MayoClinic #ClinicianScientist #KidneyCare #HealthcareExcellence #MedicalEducation #FutureOfMedicine