White Paper
AI and the Future of Rare Disease Care
Rare disease diagnosis has long been a pattern-recognition problem hidden across fragmented specialists and siloed records — exactly the kind of challenge where AI already shows strong results. This white paper models three scenarios for AI adoption in healthcare, identifies which rare diseases and rare cancers are most AI-ready, and examines what compressed diagnostic timelines mean for physician engagement strategy.
What’s Inside
- Three scenarios for AI adoption in healthcare and what each means for time-to-diagnosis
- Which rare diseases are most AI-ready based on data richness and biological tractability
- How AI is beginning to accelerate rare disease drug development and trial matching
- What AI will and will not do — and how the clinical workforce role is shifting, not disappearing
