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Internal-Medicine-Primary-Care
nephrologists
Mixed (Video + PDF)
Mixed (Video + PDF)
Other
Omics Integration: How to use generative AI to analyze large-scale molecular omics data (genomics, proteomics) to identify new therapeutic targets for kidney disease.
Clinical Trial Redesign: Using AI for “Prognostic Enrichment”—identifying patients most likely to benefit from a trial drug—and automating event adjudication to speed up results.
Bias Mitigation: Recognizing and correcting “Algorithmic Bias” in AI models to ensuring that kidney function prediction tools do not perpetuate health disparities.
Generative AI in Practice: Practical applications of AI in drafting clinical notes, summarizing patient histories, and serving as clinical decision support tools.
Event: Advances in Research Conference (ARC) 2025
Theme: Generative Artificial Intelligence in Kidney Disease Research and Management
Date: Wednesday, November 5, 2025 (One day prior to the main Annual Meeting)
Location: George R. Brown Convention Center, Houston, Texas, USA
Physician-Scientists: Looking to integrate AI tools into their basic or translational research labs.
Clinical Trialists: Interested in how AI can reduce the cost and duration of renal clinical trials.
Bioinformaticians: Working in renal pathology or genetics.
Nephrologists: Who want to understand the “Black Box” of the AI tools that are beginning to enter their Electronic Health Records (EHR).
The “Cutting Edge”: This is the single most concentrated day of high-level science at Kidney Week. It sets the intellectual tone for the rest of the meeting.
Cross-Disciplinary Faculty: The faculty includes not just nephrologists, but also data scientists and engineers, offering a perspective rarely found in standard medical conferences.
Networking: Because it is a smaller, ticketed event (compared to the 12,000+ person main meeting), it offers a unique opportunity to interact directly with leaders in the field of “Nephro-AI.”
Linking Spatially Resolved Data with Clinical Outcomes.
Blending Biology, Chemistry, and AI to Enable Systems Pharmacology.
Prognostic Enrichment and Clinical Trial Design Considerations.
Applications of AI in Event Adjudication.
Generative AI in Clinical Trials: A Driver of Efficiency.
From Pixels to Prognosis: The Role of Generative AI in Renal Pathology (e.g., reading biopsy slides).
Recognizing and Mitigating Algorithmic Bias in Nephrology.
Post-Trial Implementation and Clinical Decision Support.
