Session date: 
09/11/2025 - 12:20pm to 1:20pm

Presentation Title: Reimagining Polycystic Kidney Disease: AI Applications, Biomarker Discovery, and Novel Therapies


Speaker: Fouad Chebib, MD


Learning Objectives
Upon conclusion of this activity, participants should be able to:​

•Define the limitations of traditional biomarkers in ADPKD and the clinical need for improved risk stratification and earlier prediction of disease progression.
•Describe how artificial intelligence and radiomics are being applied to extract multiparametric imaging features that improve prognostication and enable precision phenotyping in ADPKD.
•Identify emerging biomarkers and candidate surrogate endpoints—including cyst index, CPSA, and radiomic signatures—that hold potential to refine clinical trial design and enhance therapeutic targeting.
•Evaluate novel therapeutic strategies beyond vasopressin antagonism, including genotype-specific interventions and pathway-targeted therapies informed by biomarker discovery.

ATTENDANCE / CREDIT

Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.

Presenter: 
Fouad Chebib, MD
Additional presenter: 
John Presutti, MD
Where did the idea for the course originate?: 
Florida
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Where did the idea for the course originate?: 
Florida