According to Bill Gates (@BillGates), data-driven evidence presented to Congress demonstrates that sudden cuts in US and international aid budgets directly correlate with increased child mortality rates. Leveraging advanced AI-powered predictive analytics, researchers are now able to model and forecast the health impact of changes in foreign aid, providing policymakers with actionable insights for humanitarian funding decisions (source: Bill Gates, Twitter, June 25, 2025). The adoption of machine learning in global health analytics enables organizations to quantify outcomes and optimize resource allocation, presenting significant business opportunities for AI startups specializing in humanitarian impact modeling and data-driven policy advisory.