Rethinking Trial Access in Lower-Income Regions
Technology and mindset shifts can help expand breast cancer research leadership beyond high-income countries and build more inclusive global trial networks.
Gen Li, PhD, MBA, president of Phesi, discussed results from the company's new analysis on global inequity in breast cancer development in a recent video interview with Applied Clinical Trials.
He highlighted the geographic concentration of breast cancer trial leaders in the US and China, with a positive outlook on global diversity.
Operational barriers in lower-income countries were attributed to traditional business models, with opportunities to implement a more patient-centric approach by leveraging artificial intelligence (AI) and machine learning.
- Lack of local KOLs in underserved areas can be addressed by identifying local leaders.
- Redistribute trial workloads and improve recruitment by using AI to identify and activate new sites.
Author's summary: Expanding breast cancer research with AI-driven models.
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