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The Grand Challenges initiative has launched a global call for proposals seeking breakthrough innovations that can significantly reduce the cost of treating Severe Acute Malnutrition (SAM) while maintaining or improving treatment outcomes.

This global Grand Challenge seeks innovative solutions to significantly reduce the cost of Ready-to-Use Therapeutic Food (RUTF) used to treat Severe Acute Malnutrition (SAM), particularly in Sub-Saharan Africa and South Asia. 

The objective is to enable more children to access life-saving treatment by improving cost-efficiency across formulation, production, and supply systems. Proposals must demonstrate a minimum 30% reduction in the ex-factory unit cost of RUTF, while maintaining nutritional quality and regulatory compliance. 

This global Grand Challenges call for proposals focuses on leveraging artificial intelligence (AI) to transform how individuals and institutions engage in charitable giving.

The initiative seeks innovative, AI-driven solutions that can help donors make better decisions, increase the volume and speed of giving, and strengthen the overall philanthropic ecosystem. The goal is to move donors from intent to action by improving discovery, trust, and ease of giving, particularly in areas aligned with global health and development. 

This global Grand Challenge seeks to fund breakthrough innovations that significantly reduce the cost of diagnostic and screening tools for use in low- and middle-income countries (LMICs). The focus is on developing scalable, high-impact technologies that can deliver diagnostic results at approximately USD 1 per test or near-zero incremental cost, while maintaining quality, speed, and usability in low-resource settings. 

This global Grand Challenges call for proposals seeks to accelerate the development of innovative interventions targeting placental and maternal gut inflammation and oxidative stress to improve fetal growth outcomes.

Fetal Growth Restriction (FGR) remains a major contributor to neonatal mortality and long-term health complications, particularly in low- and middle-income countries. This call aims to support scalable, science-driven solutions that can generate decision-grade evidence and advance toward clinical application.