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Dr Raj Jena

Academic consultant neuro-oncologist

I am an academic radiation oncologist working in the neuro-oncology team. I am also lead clinician for stereotactic radiosurgery in Cambridge.
A head and body shot of Dr Raj Jena

My current role

At CUH I am an academic radiation oncologist and I am based in the neuro-oncology team. I am also lead clinician for stereotactic radiosurgery in Cambridge.

I lead a multi-professional computational radiotherapy group across the departments of oncology, physics, and engineering and I’m an investigator at the EPSRC Centre for Mathematical Imaging in Healthcare in Cambridge.

My clinical interests range from primary tumours of the brain and spine, precision radiotherapy and clinical radiation biology, radiotherapy retreatment and management of cerebral oligometastatic disease.

People who change the world: Dr Raj Jena

Link: https://www.youtube.com/watch?v=AHchuDX0nn4

Video transcript

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When I decided to become a doctor,

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I didn't realise that

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artificial intelligence

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will play such a big part in my life.

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My name is Raj Jena.

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I look after patients

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with cancers of the brain and spine.

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We do this

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by using precise radiotherapy treatment

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to kill off the tumours and save lives.

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Planning radiotherapy

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treatment takes many hours,

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carefully marking up scans

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in order to direct the radiation

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to the tumour, whilst shielding

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healthy structures

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around the tumour itself.

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So my team at Addenbrooke's Hospital

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and the University of Cambridge

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have been collaborating

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with Microsoft

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Research to train computers to perform

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this task more quickly.

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The results are incredibly exciting.

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The research known as Project InnerEye,

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has shown

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that a computer

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can perform in just a few minutes

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what would normally take me

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several hours to do.

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This is important

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because it means we can start a patient

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on life-saving

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radiotherapy much more quickly,

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and we know that the sooner

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that we can start

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treatments, the better

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the chances for the patient.

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The deep learning software

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tools from Project

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InnerEye have now been released

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as open source code,

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and we look forward

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to using these tools routinely

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to speed up

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the time taken for patients

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to start radiotherapy treatment

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here at Addenbrooke’s.

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Using AI to help doctors with complex

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routine tasks

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is an absolute game changer.

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It gives back

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technicians the gift of time

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and it means

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that we can focus on the parts

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that only humans can do,

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which is actually caring for patients.

Previous history

I graduated with a 1st class medical degree from the University of Cambridge in 1995 and subsequently received the Raymond Horton Smith prize for my MD thesis in advanced MR imaging of glioblastoma.

I developed my interest in MR imaging of glioblastoma and computational imaging during my clinician scientist fellowship before obtaining a full time academic post in 2014.

Personal interests

I enjoy teaching students from pre-school to medical school about oncology, and I am actively involved with organisations that help patients contribute to the design of medical research. Outside of work I enjoy photography and cycling.