AI revolution: transforming rare disease research and development

AI revolution: transforming rare disease research and development



What are the AI technologies, strategies and approaches that are really delivering value?

Rare disease drug discovery and development is challenged by small patient numbers, low rates of diagnosis and geographical dispersion. But AI-enabled technologies are changing the rare disease research landscape. By integrating and analysing data from different multi-omics and multi-modal sources, AI is already accelerating the development of new rare disease medicines. So, what are the technologies, strategies and approaches that are delivering value? In this report experts explore how – and where – AI is driving progress.


Subject synopsis
Research methodology and objectives
Experts interviewed
Key research objectives
Key insights summary
Issues and insights
Current impact of AI on rare diseases
Issue summary
Questions
Key insights
Supporting quotes
Intelligence exhibits
AI transforming the understanding of rare diseases
Issue summary
Questions
Key insights
Supporting quotes
Intelligence exhibits
Key challenges associated with implementing AI-based programs in rare diseases
Issue summary
Questions
Key insights
Supporting quotes
Intelligence exhibits
The future of AI in rare diseases
Issue summary
Questions
Key insights
Supporting quotes
Intelligence exhibits
Further Reading
Abbreviations

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