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of RFC1 disease. In parallel, we will a gene perturbation analysis using the Crispr-I technology in genetically engineered iPSC-derived sensory neurons to further investigate the effect of GWA loci and to
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annually, with life-threatening consequences for immunocompromised individuals. With few antifungal drugs available and resistance on the rise, this project explores a novel strategy: engineering the fungal
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infection-resistant implant coatings that do not contribute to AMR. The technology has the potential to reduce infection rates, improve implant longevity, and lower healthcare costs. The approach may also be
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language model (LLM)-based genome design tools with bioprocess engineering to create next-generation therapeutic conjugative plasmids. These engineered plasmids will be optimised for industrial-scale
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approach: integrating mechanical and enzymatic antibiofilm mechanisms into medical-grade polymers to create next-generation single-use medical consumables with built-in, robust antibiofilm properties. By
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
their use in field or point-of-care settings. This project aims to develop portable, nanopore-based sensors for the rapid and accurate quantification of antibiotic concentrations in environmental and clinical
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diagnostics, empirical antibiotic use is common, exacerbating resistance. This project aims to develop a next-generation lateral flow assay (LFA) platform for rapid, ultrasensitive detection of RTI pathogens
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that block infection at its source, with broad applicability to respiratory pathogens, including drug-resistant bacteria. Approach and Methods: Use automated synthesis platforms to generate a high-throughput
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and quorum sensing, offering new strategies to overcome resistance. Approach and Methods: Use cross-linking mass spectrometry to identify peptide targets in mycobacterial membranes Study effects on cell
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. This project will use large-scale metagenomic mining to uncover novel phage-host associations and identify phage-encoded enzymes, such as endolysins, with antibacterial activity. By integrating evolutionary