Marianne Aznar, Professor of Radiation Oncology Physics at the University of Manchester, shared a post on LinkedIn:
“Join our team!
We’re looking for a candidate with strong skills in computer science or medical physics to work on a fully funded and ambitious project in close collaboration with The Christie NHS Foundation Trust.
Clinical trials are a cornerstone of effective cancer treatments, but they are resource-intensive, expensive and often limited to fitter patients. Virtual or ‘insilico’ trials are a potential game changer in this field, offering the potential to reduce the risk of unsuccessful clinical trials.
This project will be one of the first studies to support the development of virtual clinical trials in radiotherapy.
The candidate will work on developing methods for generating synthetic patient populations that reflect the diversity of patients treated focusing on two groups:
Adults with lung cancer and children with brain tumours. With the use of digital phantoms and generative artificial intelligence, synthetic patient images will be generated and used to demonstrate the value of such populations to de-risk radiotherapy trials using large scale treatment planning automation.
Read more here.
Deadline Nov 15th: don’t hesitate to get in touch!.”
Read more posts featuring Marianne Aznar on OncoDaily.