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In this regular feature on Breakthroughs, we highlight some of the most interesting reads in global health research from the past week.

September 2, 2025 by Hannah Sachs-Wetstone

Last week, French biopharmaceutical company Osivax announced that it received a $19.5 million contract from the Biomedical Advanced Research and Development Authority (BARDA) to further develop its broad-spectrum influenza A candidate vaccine for pandemic and seasonal flu preparedness. The vaccine is designed to target a part of the virus that is highly conserved and less likely to mutate, hopefully offering a broader, more universal immune response, and it has demonstrated promising results in early clinical trials. BARDA’s funding will support ongoing clinical development and large-scale trial and manufacturing preparation, with potential options for future funding to support Phase 2b and scale-up activities.

A team of researchers at the University of Nottingham successfully produced antibodies that kill the parasite that causes Chagas disease, an important step toward the development of a much-needed vaccine. Chagas is a serious neglected tropical disease, which causes 56,000 cases and 12,000 deaths every year. The researchers developed antibodies targeting two key proteins in the parasite that were found to be extremely effective at neutralizing the parasite in a crucial developmental phase when it’s capable of infection, which is key for vaccine development.  

A University of Maryland research team developed an artificial intelligence (AI) tool that can quickly scan electronic medical records to identify high-risk patients who may be infected with H5N1 avian flu, as this year’s outbreak highlights the need for more robust screening interventions to ensure infections are not going undetected. The researchers used their generative AI large-language model to analyze the records of more than 13,000 adults who had visited the emergency department in Maryland in 2024 for acute respiratory illness and common H5N1 symptoms. With less than half an hour of human input, the model found 76 records that mentioned a lifestyle risk factor for H5N1, 14 of which were confirmed to have a recent exposure to animals that transmit H5N1. The tool highlights the shortcomings of the response to the latest outbreak and offers a potential new tool to help improve surveillance and testing in future outbreaks of H5N1 and other infectious diseases.

About the author

Hannah Sachs-WetstoneGHTC

Hannah supports advocacy and communications activities and member coordination for GHTC. Her role includes developing and disseminating digital communications, tracking member and policy news, engaging coalition members, and organizing meetings and events.Prior to joining GHTC,...read more about this author