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Identifying Worsening Events

This work-stream is developing methods to identify cancer recurrence and progression by looking at patients’ routinely recorded medical data.


We will follow on from the main project’s task of solving the legal, ethical and technical difficulties associated with safely and securely linking patients’ data. We hope to show what great work can be done when GP and hospital data talk to each other. Take a look below at the benefits of this work-stream’s activities.



Our plan is to combine a range of methods to understand patients’ data.

Clinician-guided algorithm

What do doctors do?

We’re asking clinicians how they identify cancer recurrence and progression. We’ll then program a computer to mimic the decisions that they make.

Process-guided algorithm

What does a patient’s journey look like?

We’re scrutinising the sequence of events that follow on from a primary diagnosis and looking for patterns in the way recurrence and progression events develop.

Data-guided algorithm

How likely is recurrence or progression?

We’re looking at patients’ data to see what features are associated with recurrences or progressions and what features are associated with a clean bill of health.


We intend to broadcast our methods and findings in high-impact academic journals and conferences, as the project progresses. Below, are some of the academic publications associated with this work-stream.

Scroll down to Public Engagement Work to see what we are doing to broadcast this work to the public at large.

Public Engagement

We believe that research is ultimately for the benefit of everyone. We’re getting involved with you, the public, through a range of events and media. Have a look below to see what we’re up to.

Be Curious 2018

Discovery Zone 2018