Building the gut microbiome

Bacteria hugely impact many aspects of our lives, including health, agriculture, industry, water treatment services, and the climate. Often, they live together in densely packed communities, where they can strongly interact with each other. In particular, the 'bacterial communities' living in our digestive tract are now known to be essential for our health and well-being, such as protecting us from harmful bacteria, improving our nutrition, and training our immune systems. Critically, changes in the community composition and structure can lead to chronic and life-threatening diseases. Therefore, we must understand how these bacteria interact with each other and ourselves if we want to unlock further health benefits available to us. However, it is extremely difficult to study and understand these bacterial communities, especially at the tiny scales at which they naturally occur. New methods are urgently needed to build simplified bacterial communities and their hosts, capturing the complex arrangements and interactions of different bacteria found within us. My goal is to build new tractable models - using 3D printing and flow systems - to study how the composition and structure of the community and the host determine how bacterial communities persist over time, and importantly, if they thrive or perish. I have chosen to work in this research area because I believe I can vastly improve our understanding of the link between the host, community structure, and community function by building simplified microbiome models. Importantly, the technologies and understanding I develop throughout this proposal will not only benefit human microbiome research, but microbial communities found throughout the environment.

Extreme heat and preterm birth in rural zimbabwe

This project worth £1.89M is funded by Wellcome and led by Prof Andrew Prendergast who is the Director of the Zvitambo Institute for Maternal and Child Health Research in Zimbabwe and has established clinical trials to improve healthy birth and growth.

AI-guided Prostate Biopsy

The AMS Professorship will enable the team to clinically validate next-generation interventional technology for affordable image fusion with a small footprint and translate it to clinical practice. The team's planned project, a collaboration between his lab and Addenbrooke’s Hospital, will aim to improve freehand transperineal prostate cancer biopsy by developing an integrated 3D MRI-US image fusion system built upon state-of-the-art AI techniques. This system will help clinicians precisely navigate needles to lesions in the prostate for more effective diagnosis and treatment.

The role of novel mechanosensitive complex in cardiomyocyte pathophysiology

Preterm birth mechanisms in a high HIV prevalence setting in rural Zimbabwe

Every year, 13 million babies are born too soon. Preterm babies have a higher risk of dying or developing less well. Preterm birth is particularly common in Africa, where HIV infection during pregnancy increases the risk of preterm birth. Infection and inflammation may cause preterm birth by weakening the membranes and triggering the start of labour. We believe pregnant women with HIV have more infections and inflammation which increases their preterm risk. Our project aims to understand why babies are born preterm in Zimbabwe and whether an inexpensive antibiotic can reduce infections and inflammation, with the overall hope of reducing the number of children born too soon.

Talin dependent mechanical imprinting as driver for cardiac disease progression

Scalable Manufacturing of Single-Crystal Perovskite Optical and Electronic Devices: Follow-On

In this project, we will develop technologies for scalable manufacturing of single-crystal perovskite optical and Electronic Devices.

Mapping populations to patients: designing optimal ablation therapy for atrial fibrillation through simulation and deep learning of digital twin

We will combine biophysical simulation and deep learning methods with a longitudinal digital twin approach to optimise risk prediction and choice of therapy for atrial fibrillation. We aim to move predictions from the acute response to the long-term response; from the average patient to an individual patient; from standard treatments to any treatment approach; from small patient cohorts to large virtual trials; and from long simulation times to short clinical timescales.

Integrated Human-Augmented Robotics and Intelligent Sensing Platform for Precision Viticulture

This project aims to revolutionize the way high-value horticultural crops such as grapes, berries, and other fruits are grown by developing and implementing a precision farming ecosystem.

Engineered Recombinant Strategies to Organogel Design for Food Product Formulations

Development and Validation of Smartphone-Based Tools for Characterisation of Gait

This project aims to develop and validate smartphone-based tools for characterising gait. By utilizing the sensors and capabilities of modern smartphones, the project seeks to provide accessible, accurate, and cost-effective solutions for gait analysis, benefiting both healthcare providers and researchers in diagnosing and monitoring gait-related conditions.

Development of an Organ-on-a-chip model of polycystic kidney disease using CRISPR modified human kid

Tomo-SAXS: Imaging full-field molecular-to-macroscale biophysics of fibrous tissues

This project will combine X-ray phase-contrast tomographic imaging and small-angle X-ray scattering to develop a path-breaking new technique - TomoSAXS – for the multiscale biophysics of tissues. We will develop advanced reconstruction algorithms to generate full-field 3D images of molecular to macroscale soft tissue structure, using the intervertebral disc as a prototypical organ.

G1F1 Application of a new high throughput platform for validation of mechanosensitive miRNA

Designing motile and chemotactic protocells and exploit cellular collective behaviours

ProNaGen: Engineering of Recombinant Protein Nanosheet-Based Bioemulsions for Next Generation Bioprocessing and Biomanufacturing

Single crystal perovskite fibre

In this project, we will explore the application of single-crystal perovskite fibres.

Human synovium-cartilage organ-chip for personalised surgical screening

Scientists at Queen Mary University of London are creating a human knee-on-a-chip device to understand how arthritis develops in individual patients and to test treatment strategies. The so-called organ-on-a-chip will consist of living cells taken from the knee joints of patients with osteoarthritis. The cells from patient’s cartilage and other tissues within the knee, will be grown within the laboratory in a carefully bioengineering organ-on-a-chip and used to understand which patients respond well to treatment. This will ultimately allow clinicians to optimise therapies to individual patients in an approach known as precision medicine or personalised medicine.

MRI-guided Focal Laser Ablation for Prostate Cancer Treatment

Prostate cancer is one of the most common malignancies in males and has now become the second leading cause of cancer mortality. Prostate cancer diagnosis has increased from 3.9% to 8.2% of the population in the past decade. Approximately 52,300 new cases of prostate cancer are diagnosed in the United Kingdom every year, which is equivalent to more than 140 cases every day. In this study, a robotic platform used for MRI-guided prostate therapy, including both biopsy and ablation, will be developed and validated. As compared to all the listed MR-safe robot platforms, the presented design will have a compact size. This allows it to be placed inside the MRI scanner more conveniently, making the therapy process more efficient. Moreover, the use of pneumatic stepper actuators will reduce the affection of EMI generated by piezoelectric motors, and all the other parts are made of plastic, which makes the whole system MR safe.

Wearable sensor for vascular access home monitoring

Kidney Research UK Dialysis Competition

Microbiome-Bone Chip

Remote Vital Signs Monitor for Infection Control or Fall Prevention

Recent miniaturisation developments in electronic systems have resulted in a wearable technology boom. This in turn has led to an increase in both vital sign monitoring and research into non-invasive and continuous monitoring methods. Various studies have shown the feasibility of using seismocardiogram (SCG) in heart rate variation (HRV) analysis and diagnostic purposes. This funding aims to build upon the research done on SCG through development of a novel, real time Android based system which can calculate the heart rate and the respiratory rate of patients.