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‐Point of Care‐Circulating Cathodic Antigen lateral flow test (LS‐POC‐CCA)
• 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‐Wolbachia 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