Meet Anu Datta, a Clinical Research Training Fellow. In his PhD project, he’s investigating if genetic and imaging biomarkers can optimise patient stratification when receiving curative radiotherapy for cervical cancer.
My project’s framework has given me the opportunity to work closely with people from a whole host of backgrounds including biologists, physicists, mathematicians, bio-informaticians and computational scientists just to name a few!
Clinical Research Training Fellow
What is your background?
I am a specialist registrar in Radiology with an interest in cancer imaging and minimally invasive treatments. I was working as a ST5 trainee in Manchester before I started my PhD and I’m currently in my second year of research.
Tell us about your research.
At its very core, my project aims to better our understanding of how cervical tumour oxygenation evolves during radiotherapy by identifying biomarkers that reflect hypoxia. This involves developing and validating a transcriptomic biomarker, and investigating the progression of MRI based biomarkers during treatment. These biomarkers can then be used to stratify patients, monitor treatment response and alter therapy.
Who do you work/collaborate with?
My project’s framework has given me the opportunity to work closely with people from a whole host of backgrounds including biologists, physicists, mathematicians, bio-informaticians and computational scientists just to name a few! As this is a clinical study, I have also enjoyed getting to know and working with healthcare workers from departments outside of my own.
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