Agenda

November 17, 2025

8:00 – 8:30 AM

Networking Breakfast and Registration
8:30 – 8:45 AM

Welcome and Opening Remarks
Brad Wouters, Deepali Kumar
8:45 – 9:45 AM

Keynote Talk; AI Algorithms for Healthcare Decision-Making and Organ Matching
Tuomas Sandholm
9:45 – 10:05 AM

Expert Talk: CMV Risk Stratification Post-Transplant
Meghan Aversa, Aman Sidhu
10:05 – 10:20 AM

Networking Break
10:20 – 10:50 AM

Keynote Talk: Research efforts in AI across the Mayo Research Enterprises
Vijay Shah
10:50 – 11:10 AM

Innovations in Development and Deployment of AI tools in Liver Transplantation
Mamatha Bhat
11:10 -11:30 AM

Expert Talk: Predicting Immunosuppression Needs
Girish Mour

11:30 – 11:50 AM

Expert Talk: Synthetic Data in Transplant AI
Joseph Ahn
11:50 – 12:10 PM

Statistical Foundations of Machine Learning Models
Walter Kremers
12:10 – 1:10 PM

Networking Lunch + Poster Session

P1 Multi-Modal Machine Learning Model Highlights the Combined Impact of Genetic and Clinical Factors on Post-Transplant MASLD
Soumita Ghosh
P2 A Multimodal Machine Learning Biomarker Integrating Cell-free DNA Methylation with Clinical Variables for Non-Invasive Diagnosis of MASH
Ankit Ray
P3 Personalized Kidney Function Benefit Estimation of Envarsus Using Machine Learning–Based Trial Simulations and Prediction Modelling
Saba Maleki
P4 Predicting PTLD After Abdominal Organ Transplantation Using Machine Learning: Impact of Combined EBV and CMV Serostatus
Ghazal Azarfar
P5 A Machine Learning Algorithm to Quantify the Impact of Smoking in Donor Lungs Assessed on Ex Vivo Lung Perfusion
Lielle Ronen
P6 Using Machine Learning to Predict Time to Extubation using Pre-transplant Recipient Profiles
Deween Piyasena
P7 Transcriptomic Landscape Of B Cells In Chronic Lung Allograft Dysfunction (CLAD): Intragraft B Cells Exhibit Upregulation Of STAT1-related Pathways
Ankita Burman
1:10 – 2:10 PM

Keynote Talk: Multimodal Data Integration in AI
Pranav Rajpurkar
2:10 – 2:50 PM

Oral Presentation Session

OR1 A Multimodal Machine Learning Biomarker for Non-Invasive Diagnosis of Liver Graft Injury
Soumita Ghosh
OR2 Evaluation of a Safe and Collaborative AI Agent for Clinical Decision Support in Liver Transplant Candidate Assessment
Ghazal Azarfar
OR3 Development of a Readily Deployable Prognostication Tool for Predicting Major Adverse Cardiovascular Events Following Liver Transplantation
David Pellow
OR4 Towards Digital Twins of Ex Vivo Human Lungs for Restrictive and Obstructive Lung Diseases Using Machine Learning and Physics-Based Modelling
Serena Hacker
OR5 Predicting Post-Transplant FEV1 and FVC Using Donor Lung Function Measured During EVLP with Machine Learning
Deween Piyasena
2:50 – 3:05 PM

Networking Break
3:05 – 3:50 PM

Panel Discussion: Building Multi-Center AI Collaborations
John Halamka, Brad Wouters, Mary Vyas, Shaf Keshavjee

Moderators: Mamatha Bhat, Robert Huebert
3:50 – 4:35 PM

Panel Discussion: Leveraging Data Integration for Multi-Center AI Collaborations
Michael Brudno, Maneesh Goyal, Edson Amaro Jr, Byron Yount, Farhana Alarakhiya

Moderators: Aman Sidhu
4:35 – 4:45 PM

Award Acknowledgements & Day 1 Wrap Up 
Conference Co-Chairs
4:45 – 6:00 PM

Networking Reception

November 18, 2025

8:00 – 8:30 AM

Welcome & Networking Breakfast
8:30 – 9:30 AM

Workshop 1: Mayo Clinic Data Atlas – Building Infrastructure for Multicentre Transplant AI Trials
Eric Klee
9:30 – 10:30 AM

Workshop 2: Commercialization of AI Tools
Steve Schudlo, Jerrold Jackson, Andrew Sage
10:30 – 11:30 AM

Q&A Open Session
Mamatha Bhat, Aman Sidhu, Robert Huebert, Mour Girish
11:30 – 12:30 PM

Closing Remarks & Networking Lunch