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A leading healthcare institution in London is seeking a Research Assistant to support the development of a machine learning-driven Urology Triage Platform, facilitate research grant applications, and coordinate literature reviews. Ideal candidates should have relevant experience in research methodologies and the ability to work collaboratively in a clinical setting. This role offers an opportunity to contribute to innovative healthcare solutions.
The RA Will Be Responsible For
Workstream 1
Using machine learning (ML)-driven Urology Triage Platform (UTP) to help address the increased urology referrals of an ageing population directly addresses two of the industry research grand challenges of AI-supported initiatives and innovation to support an ageing population. This aligns with the NHS long-term plan pledge of ‘digitally enabled’ outpatient care becoming mainstream. Our previous work with Demdx has demonstrated a ML technical and clinical Urology Triage Platform (UTP) with developed ML algorithms to optimise clinical pathways can be trained to various supervised learning models using SNOMED symptoms and anonymised past medical records as independent variables and diagnosis as the dependent variable.
Workstream 2: Understanding Barriers to AI Care
Guy's and St Thomas' renal and transplant service is a centre of excellence for kidney disease treatment. Clinical services are based at Guy's with outreach services across south east London and Kent. We offer treatment at all stages, including early diagnosis, advanced kidney disease care, dialysis, kidney transplantation, and end-of-life care. We have the UK's largest and most active living kidney donation programme. Urology is a surgical specialty covering the diagnosis and treatment of disorders of the kidneys, ureters, bladder, prostate, and male reproductive organs. We conduct various research studies in the directorate.
For further details or informal visits, contact:
Name: Professor Tet Yap
Job title: Professor of Urology
Email: tet.yap@nhs.net