Gates Foundation: Reducing the Burden of Preeclampsia

25/03/2025

Gates Foundation: Reducing the Burden of Preeclampsia

Description:

Proposals for innovative solutions for the early detection, prevention, and treatment of preeclampsia, particularly in low- and middle-income countries (LMIC) where maternal mortality rates are high. To support this focus, we are looking for collaborations, including those with research institutions, health care providers, and global health organizations, that enable cross-sector insights and ensure that solutions are adaptable and practical.  The objectives of the challenge are:

* Early prediction and detection of preeclampsia – biomarkers (including other than sFlt1 and PlGF), diagnostic tests, and point-of-care technologies to predict early in pregnancy the risk of preeclampsia and to diagnose it before symptoms become severe.

* Understanding the pathophysiology of preeclampsia and its heterogeneity. We seek to understand the biological mechanisms driving the disease and its subtypes so that new interventions can be effectively tailored to the underlying etiology.

* Preventive and therapeutic interventions. We seek new approaches to known targets or new targets to reduce the incidence and severity of preeclampsia, mitigate disease progression, and prevent the cardiovascular and metabolic complications that often follow it.

Funding:  up to $500K over 2 years.   Particularly encouraged are applications involving projects led by women or from women-led organizations and applications from institutions based in LMIC.

** If interested, register to a dedicated webinar on February 27, from 7:30 to 8:30 AM Pacific Time for a comprehensive overview of the RFP details and an opportunity to have your questions answered. To participate in the webinar, please register and submit your questions in advance. The webinar will be recorded and available on this challenge page after the session.

https://gcgh.grandchallenges.org/challenge/reducing-burden-preeclampsia

Fields :

  • Life Sciences

Source :

Foreign

Attributes:

Everyone

© All rights reserved 2024