Redwood AI Enters LOI to Explore Pathogen Tracking Through AI Genomics at the Border of Rwanda and the Democratic Republic of Congo with Aim of Potentially Tracing Ebola Virus Disease

VANCOUVER, BC / ACCESS Newswire / June 11, 2026 / Redwood AI Corp. (CSE:AIRX)(OTCQB:RDWCF)(Frankfurt:Y0N,WKN:A422EZ) ("Redwood" or the "Company") is pleased to announce the signing of a non-binding Letter of Intent ("LOI") with Dr. Placide Sesonga of The University of Global Health Equity (UGHE) in Rwanda.

The proposed collaboration is intended to support the development of a regional pathogen tracking and AI-enabled outbreak intelligence initiative focused on strengthening preparedness and early detection capabilities for emerging and re-emerging infectious diseases across Central and East Africa. The LOI is non-binding and intended to support collaborative planning, protocol development, and funding discussions related to the proposed initiative. Any future binding commitments, of which there is no assurance or certainty, would be subject to separate definitive agreements among the relevant parties.

The initiative is expected to initially focus on high-priority surveillance regions and mobility corridors within Rwanda and the Democratic Republic of the Congo ("DRC"). The parties intend to explore the deployment of "One-health" pathogen tracking infrastructure across major and secondary border crossings, transit hubs, urban centers, and other high-risk mobility corridors. "One-health" refers to examining the potential for zoonotic diseases between animals and humans.

The proposed system would combine pathogen monitoring, metagenomic sequencing, geospatial and epidemiological analytics, and Redwood's AI-enabled predictive intelligence platform to support earlier identification of abnormal pathogen activity and emerging outbreak signals at the population level.

The parties acknowledge that the recent Ebola outbreak in eastern DRC and neighbouring countries highlights the urgent need for earlier and more coordinated regional outbreak intelligence systems capable of identifying emerging infectious disease threats before substantial community transmission and cross-border spread occur. While Ebola served as an important catalyst for discussions surrounding the initiative, the proposed infrastructure is intended to support broader long-term preparedness efforts for a wide range of emerging and re-emerging infectious diseases of regional and global public health importance.

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