Projects led by RVC
- A multi-disciplinary approach to optimize, evaluate social uptake, and mathematically predict the impact of a novel point-of-contact diagnostic test for targeted treatment of zoonotic hybrid and livestock schistosomiasis in sub-Saharan Africa
- Antimicrobial eye drops with extended duration of effect and efficacy
- Assessing social acceptability and economic impact of centralised antibiotic usage data collection for GB cattle farms
- Bacteriophage technology: rapid point-of-care detection and antibiotic resistance profiling of tuberculosis infections
- Big data analysis to identify innovative solutions for combating respiratory disease and reducing antimicrobial use in beef cattle
- Development and commercialisation of a novel Livestock Schistosomiasis鈥怭oint of Care鈥怌irculating Cathodic Antigen lateral flow test (LS鈥怭OC鈥怌CA)
- Development and testing of a Streptococcus suis candidate vaccine
- Development of an inactivated oral yeast vaccine against poultry Eimeria
- Development of a poultry vaccine platform based on transgenic coccidia parasites and evaluation of immunoprotection against necrotic enteritis
- Enhancing political economy research skills to tackle infectious disease and AMR challenges
- Knowledge exchange through a Bedouin lens: a photovoice exploration of camel owner perceptions of zoonotic disease risk
- Machine learning to combat AMR through the integrated analysis of VetCompass and laboratory data
- Mining RNA unmapped reads: developing a fast diagnostic tool for infectious disease in cattle
- Predicting treatment outcomes for neglected tropical diseases
- Probabilistic diagnostic algorithm for early serological detection of Johne’s disease in dairy cattle
- The potential role of wildlife in antimicrobial resistance and ecosystem contamination
- Validation of specific immune responses against an Eimeria (protozoa) prototype expressing a Clostridium perfringens antigen and comparison to the same antigen obtained by standardised prokaryote and eukaryote protein expression systems
Projects led LSHTM
- Advancing inhibitors targeting Cathepsin D as a new drug treatment for schistosomiasis
- An antimalarial drug targeting Plasmodium phosphodiesterases to cure patients and block transmission; a new tool to combat drug resistance
- Building automated genomics data curation and collection pipeline
- Development of a suspension bead assay targeting the zoonotic malaria parasite
- Developing a novel serosurveillance kit in Collaboratorship with Luminex, A DiaSorin to support global malaria elimination efforts using the xMAP® Technology platform
- Malaria Detection Dogs
- Neglected malaria parasites: genomic discovery and translation
- Multi- disciplinary research for the strategic and translational development of late-stage tuberculosis vaccine candidates
- Optimising sugar attachment site in vaccine
- Phenotype Image Data and Digital Learning Innovation (PhIDDLI)
- Tackling antimicrobial resistance in rivers: A design-based policy approach
- Using system dynamics modelling for collaborative, evidence-based design of interventions to reduce tuberculosis transmission in South African health facilities
Projects led by LSTM
- An anti鈥怶olbachia azaquinazoline small molecule as a preventative drug candidate for veterinary heartworm disease
- Commercialisation of the LSTM Barrier bed net
- Determine the therapeutic potential of sialylated Fc for influenza therapy
- Development and validation of improved automated spray cabinet to enable commercial application of spray deposits
- Drug Discovery against MDR TB: Development of preclinical data Pack, IP protection and patenting strategy
- Preclinical and clinical testing of a repurposed drug for use as an early oral therapeutic for tropical snakebite: a model to leverage western markets for LMIC access
- The GeneDrive Crimean Congo Haemorrhagic Fever assay; from prototype to design freeze
Project led by SOAS
- Contextualising antimicrobial resistance perspectives in Sri Lanka and European Union
- Visual arts for Localised Evidence and Decision-making (LEAD)
Project led by LSE
- Localised Evidence and Decision-making (LEAD) Project
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