KI INSIGHT STORY – EEDBI TRANSCRIPTOMICS
Ki Insight Stories are an opportunity for us to thank the Ki Community for your generous data contributions and keep you informed on the important insights that Ki and our BMGF partners are generating.
Our latest Insight Story presents the results of EEDBI transcriptomics data science rallies. The goal of these ongoing data science rallies is to determine if children with EED have different expression of specific genes or pathways. A better understanding of how specific genes and pathways contribute to EED would allow for more straightforward diagnosis, better-targeted interventions, and ultimately, prevention of severe malnutrition.
We deeply appreciate the hard work and involvement of all our data contributors, domain experts, and partners. Without you, this work would not be possible. We would particularly like to acknowledge the partners and data contributors to EEDBI from these institutions:
- Aga Khan University, Karachi, Pakistan
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- University Teaching Hospital (UTH), Lusaka, Zambia
- Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, Ohio, United States
- University of Virginia (UVA), Charlottesville, Virginia, United States
- University of Washington (UW), Seattle, Washington, United States
- Washington University, St. Louis, Missouri, United States
- Massachusetts General Hospital/Harvard Medical School, Cambridge, Massachusetts, United States
- Massachusetts institute of Technology, Cambridge, Massachusetts
If you are a Ki data contributor or partner, we invite you to download the full Insight story by joining the Ki Insight Stories space on Synapse, a collaborative research platform.
KI GRAND CHALLENGES ANNUAL MEETING
At the 17th Grand Challenges Annual Meeting (GCAM’21), we highlighted Ki Grand Challenges (KiGC) grantee projects that have led to action, implementation, and fundamental change in their respective regions as part of the “Harnessing the Power of Data in Health” track. The “Data Science Approaches for MNCH” session also discussed the importance of community building and close collaborations with local stakeholders like ministries of health and policymakers to inform process design and outputs.
On November 16th and 17th, we hosted the Data Science Grand Challenges community annual convening, a side meeting of the GCAM’21. This year, in addition to KiGC Africa, KiGC India and KiGCE Brazil, we were excited to welcome the ICODA COVID-19 Data Science pilot GC to our community.
The plenary session started with a panel discussion about open access and pre-prints publications, including a presentation of the Gates Open Research Platform. It was followed by keynote talks on reinforcing predictive models with socio-economical parameters and modeling health for decision making. Dr. Marita Zimmermann from the Institute for Disease Modelling shared modeling examples from COVID-19 and family planning in her talk.
During the second day of the meeting, three parallel sessions were hosted and led by grantees and partners from all regions, covering a variety of topics selected by the community members:
- Risk prediction modeling
- SOPs and best practices for data and code sharing
- Data visualization
These three parallel sessions included tutorials, experiences sharing, close collaborations between grantees, and engaging discussions.
UPDATE ON DATA SETS
Thanks to you, Ki’s repository is ever-expanding. Please find below a list of studies that have completed QC since the last announcement.
- CHAMPS-L2 and CHAMPS-L3 – Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, South Africa
Childhood Health and Mortality Prevention Surveillance – Mortality Surveillance Protocol
- EU-MMN – Mexico
Multiple micronutrient supplementation during pregnancy does not lead to greater infant birth size than does iron-only supplementation: a randomized controlled trial in a semirural community in Mexico
- FU-EBDG – Brazil
Gestational Diabetes Mellitus Diagnosed With a 2-h 75-g Oral Glucose Tolerance Test and Adverse Pregnancy Outcomes
- FU-ECCAGE – Brazil
Nutrition, mental health and violence: from pregnancy to postpartum Cohort of women attending primary care units in Southern Brazil – ECCAGE study
- GOAL-Gambella – Brazil
Community Management of At risk Mothers and Infants under six months of age (C-MAMI)
- Mongolia-VitD – Mongolia
Randomized trial of three doses of vitamin D to reduce deficiency in pregnant Mongolian women
- TU-Aflatoxin – Uganda
Maternal aflatoxin exposure during pregnancy and adverse birth outcomes in Uganda
- UMB-CMP – Malawi
Chloroquine as weekly chemoprophylaxis or intermittent treatment to prevent malaria in pregnancy in Malawi: a randomized controlled trial