to support the development of non-invasive blood health monitors for use in infectious disease and maternal health monitoring for those in need in low- and middle-income countries ...

NEW YORK -- The World Health Organization (WHO), UNICEF, the National Institute of Allergy and Infectious Diseases (NIAID) and the Bill & Melinda Gates Foundation have announced a collaboration to ...

To improve global health outcomes for underserved populations by developing and applying AI-driven protein design tools for vaccines, therapeutics, or other health interventions ...

To develop a rapid, low-cost, and field-deployable electrochemical lateral flow assay for detecting folic acid in fortified foods to improve nutritional quality monitoring and support public health in ...

To support global education advocacy for foundational literacy and numeracy; policy and financing advocacy at African Union and in the Southern African Development Community region.

To test applications of open transaction networks to improve livelihoods of low-income people in low- and middle-income countries.

To support the health and lives of women and girls in LMIC. LMIC countries rely on supply of these commodities and facilitating the procurement and distribution of these commodities is integral to ...

To enable transfer, maintenance and expansion of a filarial biobank to be used by the neglected tropical disease filarial research community ...

to enhance understanding of the durability or immune responses to various vaccine platforms to help in the development of more effective vaccines for global health ...

to evaluate the potential impact of reinvented toilet (RT) technology on centralized waste water treatment plants in the US.

To strengthen Kenya’s women’s health innovation ecosystem by building policy, research, and capacity to advance equitable, gender-responsive fem-tech solutions.

To develop a government-owned sample registration system that can improve the understanding of mortality rates and burden of disease across a representative sample of the population.