Kidney Week 2025 Early Program - Advances in Research Conference 2025: Generative Artificial Intelligence in Kidney Disease Research and Management
Availability
On-Demand
Cost
Member: $400.00
Non-Member: $700.00
Contains (14)
Welcome and Basic Research Introduction
Linking Spatially Resolved Data with Clinical Outcomes: Methods for Representation and Integration
Omics in the Clinics
Blending Biology, Chemistry, and AI to Enable Systems Pharmacology
From Pixels to Prognosis: The Role of Generative AI in Pathology
Panel Discussion: Will AI Help Find New Disease Mechanisms and Therapeutic Targets?
Clinical Research Applications Introduction
Recognizing and Mitigating Algorithmic Bias in Nephrology Research and Practice
Prognostic Enrichment and Clinical Trial Design Considerations
Generative AI in Clinical Trials: A Driver of Efficiency and Democratization of Care
Applications of AI in Event Adjudication
Post-Trial Implementation and Clinical Decision Support
Panel Discussion: Future of Clinical Trials
Closing Remarks

The development of advanced artificial intelligence (AI), particularly large language models and generative AI, has started to impact basic science, clinical research, clinical practice, and everyday life. In the last three years, several applications of generative AI to drug discovery and clinical trial design have emerged and together have the potential to accelerate drug development timelines and impart major impacts on human health.

Researchers in both fundamental and clinical research areas must be aware of these advances to incorporate them in their own academic work and to critically evaluate molecules and clinical trials driven by generative AI.

Learning Objectives
Upon completion of the program, the participant will be able to:

  • Discuss potential applications of generative AI in the analysis of large-scale molecular omics data and clinical trial design, including enrichment and event adjudication
  • Describe the use of generative AI in prescreening, screening, and enrollment eligibility for clinical trials
  • Identify strategies that use generative AI to better understand disease pathophysiology and translate clinical research findings to practice.

Target Audience

  • Physicians
  • Researchers
  • Medical and Other Trainees
  • Nurses and Nurse Practitioners
  • Pharmacists
  • Physician Assistants
  • Other Healthcare Professionals

Acknowledgement
ASN thanks the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Dr. Eric Brunskill, and Dr. Debbie Gipson for their assistance with this program. Congratulations to NIDDK on its 75th anniversary.

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ASN Medical Disclaimer     
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Please note, CME/CNE/CPE Credit is not available for this activity. Certificates of attendance are available upon request. Please email kidneyweek@asn-online.org.

Instructions
  1. Participate in the Early Program. In-person verification is required; please scan your badge at your program's check-in table.
  2. Select the Questionnaire tab, and complete the Demographics Questionnaire.
  3. Select the Evaluation tab, and complete the Early Program Evaluation.

Co-Chair(s)

  • Julio Saez-Rodriguez, PhD
  • Navdeep Tangri, MD, PhD

A full faculty listing is available here

ASN Disclosure Policy
In accordance with the ACCME Standards for Integrity and Independence in Accredited Continuing Education, ASN requires all individuals in a position to control content for Kidney Week Early Programs to disclose all financial relationships with ineligible companies.

All disclosed financial relationships were reviewed by ASN. Any relevant financial relationships with ineligible companies were identified and mitigated prior to the activity.

View the ASN Disclosure Policy here.

Kidney Week 2025 faculty disclosures, including for Early Programs, are available here.

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