Rethinking Trial Access in Lower-Income Regions
Expanding breast cancer research leadership beyond high-income countries is crucial for building more inclusive global trial networks.
Gen Li, PhD, MBA, president of Phesi, discussed the company's analysis on global inequity in breast cancer development in a recent video interview with Applied Clinical Trials.
Traditional business models pose operational barriers in lower-income countries, but leveraging artificial intelligence (AI) and machine learning can help implement a more patient-centric approach.
- Geographic concentration of breast cancer trial leaders is currently in the US and China.
- Identifying local leaders and redistributing trial workloads can improve recruitment.
- AI can be used to identify and activate new sites, increasing global diversity.
Author's summary: AI-driven models can expand breast cancer research.
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