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Status : Active
Research Topic : DISEASES
Field of Research : Infectious Diseases
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Infectious Diseases (3)
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  • Researchers (30)
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP190101209

    Funder
    Australian Research Council
    Funding Amount
    $751,260.00
    Summary
    New anti-parasitic drugs for a global veterinary market. This project aims to establish an advanced, industry-linked pipeline for the development of new drugs against resilient infectious agents (parasites) that cause serious diseases in billions of animals worldwide. The research expects to discover new ways of killing parasites that survive in their host animal, despite being under severe attack by the host immune system. The resultant shift in fundamental understanding will lead to innovative .... New anti-parasitic drugs for a global veterinary market. This project aims to establish an advanced, industry-linked pipeline for the development of new drugs against resilient infectious agents (parasites) that cause serious diseases in billions of animals worldwide. The research expects to discover new ways of killing parasites that survive in their host animal, despite being under severe attack by the host immune system. The resultant shift in fundamental understanding will lead to innovative technologies or products to ameliorate the burden of parasites in livestock animals. Expected socioeconomic benefits include commercial products for end-users and lifting Australia’s scientific knowledge base, reputation in biotechnology, livestock production and investment in translational research.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE220100165

    Funder
    Australian Research Council
    Funding Amount
    $451,900.00
    Summary
    Engineering T cells to promote peripheral immunity. Tissue-resident memory T cells (TRM) are key for immune protection against infections and cancer. This has led to much interest in understanding how these immune cells develop, although elucidation of molecules that regulate TRM are still scarce. This project aims to (i) identify genetic drivers of TRM in peripheral organs and (ii) modulate TRM generation utilising state-of-the-art genetic engineering techniques. Expected outcomes include gener .... Engineering T cells to promote peripheral immunity. Tissue-resident memory T cells (TRM) are key for immune protection against infections and cancer. This has led to much interest in understanding how these immune cells develop, although elucidation of molecules that regulate TRM are still scarce. This project aims to (i) identify genetic drivers of TRM in peripheral organs and (ii) modulate TRM generation utilising state-of-the-art genetic engineering techniques. Expected outcomes include generating new knowledge that will contribute to the development of novel therapeutics against infectious disease and cancer, together with the benefit of promoting national and international collaboration with the ultimate goal of improving health.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT210100034

    Funder
    Australian Research Council
    Funding Amount
    $1,011,480.00
    Summary
    Advances in data integration modelling for infectious disease response. This project aims to develop powerful mathematical frameworks that integrate data from multiple sources to facilitate informed decisions in response to the threat of present, and future, infectious diseases. The project expects to generate new knowledge in mathematics by advancing the tools for incorporating multiple data sources into models of infectious diseases. The expected outcomes include enhanced capacity to predict s .... Advances in data integration modelling for infectious disease response. This project aims to develop powerful mathematical frameworks that integrate data from multiple sources to facilitate informed decisions in response to the threat of present, and future, infectious diseases. The project expects to generate new knowledge in mathematics by advancing the tools for incorporating multiple data sources into models of infectious diseases. The expected outcomes include enhanced capacity to predict spatiotemporal changes in transmission of infectious diseases. This project should provide significant benefits in the advancement of modelling techniques broadly applicable to infectious disease settings, which will be demonstrated for antimalarial drug resistance – a major threat to malaria elimination.
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