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The Healthcare Translation Group is focused on high-impact research in regenerative medicine (cell, gene, immuno-therapies and tissue engineering) and digital health – including medicines optimisation, supply chain security and implementation science/evaluation of digital technologies. This is complemented by research into critical enabling infrastructure including novel regulatory pathways, clinical adoption, biomanufacturing, reimbursement and intellectual property.

Healthcare translation research group

Research areas

Advanced therapeutics clinical translation and cell therapy commercialisation

Advanced therapies, such as cell and gene therapies, are a new therapeutic modality which have potential to offer treatment or cures for currently untreatable diseases. This therapeutic strategy is very young in comparison to standard chemical-based drugs, and therefore few are currently established on the market.

Disease phenotype modeling

Mathematical modeling allows researchers to investigate the impact of certain therapeutic strategies on a hypothetical patient cohort, informing decision making.

Intellectual property landscaping

Intellectual property (IP) is of fundamental importance to medicinal product development. IP landscaping is a method by which information about IP can be gathered, and can provide valuable insight into the activity of other research groups or the progression of research areas as a whole.

Machine learning for drug prioritization

The drug development process is increasingly costly, leading to a pharmaceutical industry that many describe as unsustainable. Machine learning techniques have now been applied successfully in a large number of environments, and their application to predicting the success of preclinical compounds could lead to a reduction in the attrition rate and therefore dramatic improvements to the cost of drug development.

The safety and quality of digitally-delivered health interventions

Researching regulation, standards, validation, and assessment of the efficacy, effectiveness, and costs of digital health.

(Pre-) adoption and abandonment of health innovations in different settings.

Evaluating facilitators and barriers influencing the uptake of digitally-delivered interventions from the perspective of different stakeholders (patients, carers, health workers, clinics, hospitals, policy makers, regulators, insurers, pharma, start-ups, medical device, biotech and technology companies etc.).


Collaborators: Gloria Lam (DPhil student, Mechanical Engineering)

Our team

Latest publications