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Research project

Machine learning to identify predictors of outcome and survival in the treatment of mUM (metastatic uveal melanoma) with M-PHP (melphalan percutaneous hepatic perfusion).

Staff

Lead researcher

Dr Ganesh Vigneswaran MBBS, BSc, PhD, FRCR

NIHR Clinical Lecturer
Other researchers

Professor John Primrose

Professor of Surgery

Research interests

  • Professor Primrose’s research is in gastrointestinal cancer, clinical and translational and Health Services Research. The focus is on improving outcomes for patients undergoing surgical treatment for cancer. This is being achieved through devising and undertaking large scale national and international trials. All the studies are associated with tissue collections with a view to the development of biomarkers which will have prognostic value and may also predict response to therapy.

Professor Tim Underwood

Professor of Gastrointestinal Surgery

Professor Mahesan Niranjan

ISIS Chair

Collaborating research institutes, centres and groups

Vision, Learning and Control

Our work covers a range of technological areas from control, to machine learning and computer vision.

Research outputs

Temporal evolution in quality of life following melphalan percutaneous hepatic perfusion for patients with metastatic uveal melanoma
Ganesh Vigneswaran,
Pippa Woodcock,
Tom Gibson,
Shian Patel,
Maryam Adil,
Matthew Wheater,
Ioannis Karydis,
Sanjay Gupta,
Brian Stedman,
& Sachin Modi
, 2022 , Journal of Clinical Oncology , 40 (16)
DOI: 10.1200/JCO.2022.40.16_suppl.e21520
Type: conference
Chemosaturation with percutaneous hepatic perfusion of melphalan for metastatic uveal melanoma
Sachin Modi,
Tom Gibson,
Ganesh Vigneswaran,
Shian Patel,
Matthew Wheater,
Ioannis Karydis,
Sanjay Gupta,
Arjun Takhar,
Neil Pearce,
Christian Ottensmeier,
& Brian Stedman
, 2022 , Melanoma Research , 32 (2) , 103--111
DOI: 10.1097/CMR.0000000000000806
Type: article
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