Skip to main content

Grand Challenges

Bill & Melinda Gates Foundation

Main menu

  • About
  • Challenges
  • Awarded Grants
  • News
  • Grant Opportunities
  • Search

You are here

  1. Home
  2. Awarded Grants
  3. 2013
  4. 2018

Print link

Print

Awarded Grants

Filter by Initiative

  • Grand Challenges Explorations Apply Grand Challenges Explorations filter (211)
  • Grand Challenges for Development Apply Grand Challenges for Development filter (39)
  • Grand Challenges Brazil Apply Grand Challenges Brazil filter (37)
  • Grand Challenges Apply Grand Challenges filter (19)
  • Grand Challenges India Apply Grand Challenges India filter (7)

Filter by Challenge

Filter by Awarded Year

  • 2019 Apply 2019 filter (121)
  • (-) Remove 2018 filter 2018 (129)
  • 2017 Apply 2017 filter (98)
  • 2016 Apply 2016 filter (162)
  • 2015 Apply 2015 filter (171)
  • 2014 Apply 2014 filter (152)
  • (-) Remove 2013 filter 2013 (184)
  • 2012 Apply 2012 filter (244)
  • 2011 Apply 2011 filter (258)
  • 2010 Apply 2010 filter (142)
  • 2009 Apply 2009 filter (157)
  • 2008 Apply 2008 filter (105)
  • 2006 Apply 2006 filter (1)
  • 2005 Apply 2005 filter (43)

Filter by Country

Grand Challenges is a family of initiatives fostering innovation to solve key global health and development problems. Each initiative is an experiment in the use of challenges to focus innovation on making an impact. Individual challenges address some of the same problems, but from differing perspectives.

Sort by:
Date Awarded
Title (A-Z)
10
25
50
100

Milk Exosomes and RNA for Optimal Growth and Immune Function

Janos ZempleniUniversity of Nebraska-LincolnLincoln, Nebraska, United States
Grand Challenges Explorations
Next Generation Nutrition
1 Nov 2018

Janos Zempleni of the University of Nebraska-Lincoln in the U.S. will test whether supplementing milk formula with exosomes from milk could have the potential to improve the growth of babies aged between 6 and 12 months and help protect them from infections. Exosomes are membrane-bound vesicles naturally present in all bodily fluids and are thought to transfer small molecules such as RNAs between different cells to regulate various cell functions. However, during the production of milk formula for babies, the exosomes are destroyed. They have preliminary data demonstrating that RNAs and exosomes in milk enhance growth and the immune response in mouse pups. They will expand these studies to confirm their results in mice, with a view to progressing to clinical trials to test the value of exosome-fortified milk formula in humans.

Uganda Vacc+: User-Centered Data Collection and Use

Monica NolanMU-JHU Care LimitedKampala, Uganda
Grand Challenges Explorations
Immunization Delivery
1 Nov 2018

Monica Nolan of MU-JHU Care Limited in Uganda will adapt the existing open source Smart Register Platform, which digitally stores health records, for the real-time collection and transfer of immunization data, to improve vaccine coverage and other healthcare services for women and children in Uganda. In many low- to middle-income countries, records of childhood vaccinations are usually written by hand and can be poor quality. Digital records are of better quality and value, as they also enable the integration of different types of healthcare services, such as HIV services and vaccinations, to improve overall health. They will adapt existing technology and infrastructure, including the Smart Register Platform, which is already integrated into several national health systems and can produce automated SMS reminders of appointments. They will also design methods informed by mothers with young families, health workers and managers, to optimize data use and delivery of health services. They will use surveys and analyze health data to evaluate their approach for improving vaccine timeliness and coverage at selected clinics.

Optical Scanning of the Mother and Child Protection Card

Aaditeshwar SethOnionDev Technologies Pvt. Ltd.Gurgaon, Haryana, India
Grand Challenges Explorations
Immunization Delivery
1 Nov 2018

Aaditeshwar Seth of OnionDev Technologies Pvt. Ltd. in India in collaboration with the University of Montreal Hospital Research Centre (CRCHUM) via the Tika Vaani project, will develop a smartphone application and digital processing techniques to digitize childhood immunization data from photographs of vaccination cards taken by health workers during clinic visits and store the data in a cloud to monitor adherence and send reminders to families. They will perform an 18-month pilot project to develop the application and optimize data collection and analyses, use by health workers, and performance of the messaging service for encouraging families to get their children properly vaccinated. The application will be designed around field conditions to account for low internet connectivity and the capabilities of health workers in India and will be linked with other digital health platforms to improve the overall quality of healthcare.

Crowd-Sourcing Vital Records to Improve Subnational Data

Chinedu ChugboAvigo Health L.L.C.Washington, District of Columbia, United States
Grand Challenges Explorations
Immunization Delivery
1 Nov 2018

Chinedu Chugbo of Avigo Health L.L.C. in the U.S. will develop an approach to crowdsource reports of infant births and deaths from community members by health workers to better monitor vaccine coverage in low- to middle-income countries. In Nigeria, only 30% of births are registered, making it difficult to estimate numbers of vaccine-eligible children and ensure every child is properly vaccinated. Current methods for estimating population sizes include household surveys, which are costly, or records from health clinics, which suffer from limited coverage. Crowdsourcing is a proven method for efficient data collection, although data quality may be variable. They will develop electronic data-collection and storage tools and pilot test their crowdsourcing approach in a selected region in Nigeria. Health workers will be trained to administer brief interviews to community members visiting clinics and during outreach programs to document local births and deaths. They will evaluate the performance of their approach and particularly data accuracy by comparing it with data collected by household surveys in the same region.

Tracking MRSA Evolution to Discover Important Biomarkers to Quickly Characterize Unique MRSA Clones in Hospital Bloodstream Infections

Agnes FigueiredoUniversidade Federal do Rio de JaneiroRio de Janeiro, Rio de Janeiro, Brazil
Grand Challenges Brazil
Drug Resistance Burden
1 Nov 2018

The project will use molecular approaches, including genomics and phylogenomics, to find biomarkers that could indicate the location in the genetic code driving bacterial adaptation. In addition, these biomarkers could be used as a rapid method for screening predominant and high-virulency MRSA clones in hospitals, and thus quickly provide infection control committees with key data on MRSA spread and its antimicrobial resistance profile.

An Artificial Intelligence System to Strengthen Antimicrobial Prescription in a Children's Hospital: SMART-EP

Marcelo PillonettoPontifícia Universidade Católica do ParanáCuritiba, Paraná, Brazil
Grand Challenges Brazil
Drug Resistance Burden
1 Nov 2018

The idea is to develop an artificial intelligence model capable of simultaneously analyzing data from the Laboratory Information System and from the Hospital Information System. This technology aims to enable the delivery to hospital physicians of a ranked list of antimicrobials that are more suitable to treat infection by multi-resistant microorganism with a focus on newborn and young children.

Applying the Metagenomic Approach for the Detection of EsβL- and Carbapenemase-Producing Enteric Pathogens Recovered from Different Hosts

Ana GalesUniversidade Federal de São PauloSão Paulo, São Paulo, Brazil
Grand Challenges Brazil
Drug Resistance Burden
1 Nov 2018

The project will study the genetic material from environmental samples from humans (healthy and ill), cattle and their meat to estimate the proportion of E. coli and K. pneumoniae in the microbiome. The main objective is to better understand the distribution of bacteria and its resistance genes, Escherichia coli and Klebsiella pneumoniae bacteria and extended spectrum beta-lactamase (EsβL) and carbapenemases encoding genes in distinct ecological sources.

OneBR: Integrated Genomic Database for Surveillance, Diagnosis, Management and Treatment of Antimicrobial Resistance in the Human-Animal-Environment Interface

Nilton LincopanUniversidade de São PauloSão Paulo, São Paulo, Brazil
Grand Challenges Brazil
Drug Resistance Burden
1 Nov 2018

This project proposes the development of the One Health Brazilian Resistance (OneBR), a curated and integrated genomic database. OneBR will use algorithms based on artificial intelligence to conduct surveillance, diagnosis, management and treatment of antimicrobial resistance (AMR) in the human-animal-environment interface. The goal is for this platform to be used by Brazilian health professionals in diverse settings, particularly within the Unified Healthcare System (SUS).

Data Science on Drug-Resistant Tuberculosis in Brazil

Rejane PinheiroUniversidade Federal do Rio de JaneiroRio de Janeiro, Rio de Janeiro, Brazil
Grand Challenges Brazil
Drug Resistance Burden
1 Nov 2018

The researcher will use machine learning techniques and a linked database to analyze mortality from drug-resistant tuberculosis. The goal is to better understand how the flow of patients through the health services network have influenced, or not, the occurrence of resistance.

The Dynamics of Antibiotic-Resistant Microorganism Flow Between Animal Farming and Medical Hospital Assistance

Thaís SinceroUniversidade Federal de Santa CatarinaFlorianópolis, Santa Catarina, Brazil
Grand Challenges Brazil
Drug Resistance Burden
1 Nov 2018

The project proposes to characterize the resistant determinants of microbial communities from key sources in hospitals, environment and farms to model the dynamics of the flow of antibiotic resistant microorganisms. The goal is to understand how the hospital environment and animal farming affect the ecology of antibiotic resistance movement. The project will rely on a methodology that allows the analysis of genes related to antibiotic resistance in a complex microbial community derived from specific samples instead of culture based methods for AMR identification.

Pages

  • First page
  • Previous page
  • Page 1
  • Page 2
  • Page 3
  • Currently on page 4
  • Page 5
  • Page 6
  • Page 7
  • Page 8
  • Page 9
  • …
  • Next page
  • Last page
Sort by:
Date Awarded
Title (A-Z)
10
25
50
100

Contact us

Contact us

  • General Inquiries
  • Media Inquiries

Footer - Receive Updates

Receive updates

  • Sign up for email updates

Footer

  • Privacy Policy and Terms of Use
© 2003-2019. Grand Challenges. All Rights Reserved.

PLEASE REVIEW OUR UPDATED PRIVACY & COOKIES NOTICE

This site uses cookies and similar technologies to store information on your computer or device. By continuing to use this site, you agree to the placement of these cookies and similar technologies. Read our updated Privacy & Cookies Notice to learn more.