Name
Role
GMC number
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
00:00:00:09 - 00:00:02:14
When I decided to become a doctor,
00:00:02:14 - 00:00:03:15
I didn't realise that
00:00:03:15 - 00:00:05:07
artificial intelligence
00:00:05:07 - 00:00:07:23
will play such a big part in my life.
00:00:07:23 - 00:00:09:17
My name is Raj Jena.
00:00:09:17 - 00:00:10:24
I look after patients
00:00:10:24 - 00:00:13:21
with cancers of the brain and spine.
00:00:13:21 - 00:00:15:03
We do this
00:00:15:03 - 00:00:17:08
by using precise radiotherapy treatment
00:00:17:08 - 00:00:20:14
to kill off the tumours and save lives.
00:00:20:16 - 00:00:21:14
Planning radiotherapy
00:00:21:14 - 00:00:23:10
treatment takes many hours,
00:00:23:10 - 00:00:25:17
carefully marking up scans
00:00:25:17 - 00:00:28:02
in order to direct the radiation
00:00:28:02 - 00:00:30:19
to the tumour, whilst shielding
00:00:30:19 - 00:00:31:20
healthy structures
00:00:31:20 - 00:00:33:24
around the tumour itself.
00:00:33:24 - 00:00:36:00
So my team at Addenbrooke's Hospital
00:00:36:00 - 00:00:37:22
and the University of Cambridge
00:00:37:22 - 00:00:39:12
have been collaborating
00:00:39:12 - 00:00:40:08
with Microsoft
00:00:40:08 - 00:00:42:22
Research to train computers to perform
00:00:42:22 - 00:00:44:17
this task more quickly.
00:00:44:17 - 00:00:47:01
The results are incredibly exciting.
00:00:47:01 - 00:00:49:20
The research known as Project InnerEye,
00:00:49:20 - 00:00:50:09
has shown
00:00:50:09 - 00:00:51:07
that a computer
00:00:51:07 - 00:00:53:12
can perform in just a few minutes
00:00:53:12 - 00:00:54:14
what would normally take me
00:00:54:14 - 00:00:56:12
several hours to do.
00:00:56:12 - 00:00:57:06
This is important
00:00:57:06 - 00:00:59:00
because it means we can start a patient
00:00:59:00 - 00:00:59:24
on life-saving
00:00:59:24 - 00:01:02:00
radiotherapy much more quickly,
00:01:02:00 - 00:01:03:24
and we know that the sooner
00:01:03:24 - 00:01:04:17
that we can start
00:01:04:17 - 00:01:06:02
treatments, the better
00:01:06:02 - 00:01:08:02
the chances for the patient.
00:01:08:02 - 00:01:09:10
The deep learning software
00:01:09:10 - 00:01:10:17
tools from Project
00:01:10:17 - 00:01:11:20
InnerEye have now been released
00:01:11:20 - 00:01:14:02
as open source code,
00:01:14:02 - 00:01:15:03
and we look forward
00:01:15:03 - 00:01:17:13
to using these tools routinely
00:01:17:13 - 00:01:18:19
to speed up
00:01:18:19 - 00:01:20:16
the time taken for patients
00:01:20:16 - 00:01:22:04
to start radiotherapy treatment
00:01:22:04 - 00:01:23:11
here at Addenbrooke’s.
00:01:23:11 - 00:01:27:02
Using AI to help doctors with complex
00:01:27:07 - 00:01:29:10
routine tasks
00:01:29:10 - 00:01:32:13
is an absolute game changer.
00:01:32:15 - 00:01:33:09
It gives back
00:01:33:09 - 00:01:35:22
technicians the gift of time
00:01:35:22 - 00:01:36:13
and it means
00:01:36:13 - 00:01:38:02
that we can focus on the parts
00:01:38:02 - 00:01:39:18
that only humans can do,
00:01:39:18 - 00:01:41:10
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.