From Real-World Patient Data to Precision Therapeutics: A Case Study in Applying AI-Enabled Patient Endotyping & Multiple Omics Modalities to Diabetic Nephropathy
Time: 3:00 pm
day: Day 1 - Track A (1)
Details:
- What are the challenges of assembling real world patient cohorts and datasets to generate relevant multi-omics data?
- Identifying patient subpopulations using machine learning in a way that remains meaningful to physicians
- How AI-enabled techniques can enable patient stratifying biomarker models with high predictivity
- What are the key hurdles to determining drug targets that will be most relevant to specific patient subpopulations?
