Rethinking Trial Access in Lower-Income Regions
Technology and mindset shifts can expand breast cancer research leadership beyond high-income countries, building more inclusive global trial networks.
Gen Li, PhD, MBA, president of Phesi, discussed results from the company's analysis on global inequity in breast cancer development.
Traditional business models pose operational barriers in lower-income countries, but a patient-centric approach using artificial intelligence (AI) and machine learning can help.
- Geographic concentration of breast cancer trial leaders is in the US and China.
- Lack of local key opinion leaders (KOLs) in underserved areas can be addressed by identifying local leaders.
- AI can help redistribute trial workloads and improve recruitment by identifying and activating new sites.
Author's summary: AI-driven models can help expand breast cancer research.
More News
- LENARD (@cthagod) - Instagram photos and videos
- [Air ambulance for Bangladesh's ex-PM Khaleda Zia to land in Dhaka on Tuesday]
- Political source: Evacuating outposts not on the agenda
- Trump’s remark after his YMCA dance at FIFA 2026 draw revealed
- Mainstream rise in White supremacy threatens AAPI community
- Charlamagne defends airline policy
- ‘Entire Bangladesh is waiting for Tarique Rahman’: Dr Ziauddin Hyder
- Older viewers drive influencer boom as TikTok and YouTube go mainstream
- Charlamagne Tha God Hands Florida Yet Another "Donkey ..."
- Mad at the mainstream media? NBC News launches ‘Common Ground’ initiative to bridge partisan divide