Inventing the Tools for a Personalized Approach
Healthcare is becoming increasingly data-rich and preventative, yet there is a gap in the availability of effective tools to fully support and accelerate this transition. We will leverage AI tools to create the "N-of-1 Analyzer", an analytical tool that can interpret an individual's health data in a personalized way.
Rather than comparing people to broad population averages, this tool will examine each person's unique biology by analyzing their genetic makeup, blood measurements, and various health indicators over time. The analyzer will identify when measurements deviate from what's normal for that specific individual, considering not just single measurements but patterns of change across many biological systems to detect subtle shifts in health status which might signal early warnings of disease or health transitions, before traditional clinical signs appear.
The N-of-1 Analyzer will:
- Identify atypical measurements in an individual's multiomic profile.
Apply personalized models to predict health trajectories and derive actionable insights. - Pioneer a generative AI-based framework for interpreting multiomic data.
By identifying subtle shifts in health status, the N-of-1 Analyzer can provide early warnings of disease or health transitions, before traditional clinical signs appear. This will allow for earlier intervention and may lead to better health outcomes.
Leadership
Nathan Price, PhD
Professor, Buck Institute
