COMPUTATIONAL ONCOLOGY LABORATORY
We run a translational research group, focused on clinical applications of computing in medicine and are affiliated with Imperial College London. We focus on mathematical and computational approaches to improving healthcare, particularly translational and clinical applications of these approaches. These include using clinical "big data" to understand clinical outcomes, novel reasoning techniques to better understand clinical trials, computer-enhanced interpretation of imaging and using data from patient-worn sensors and online data collection.
Our work is divided into three main areas:
Big data and Artificial Intelligence
Training, skills & partnerships
We try to change life of patients diagnosed with cancer and their family as best as we can: when they come to have their treatment, once they leave the hospital and after they have finished their treatments thanks to nationally collected NHS data.
Once upon a time, the Computational Oncology Laboratory...
The Computational Oncology Laboratory is created between Imperial College Healthcare NHS Trust and Imperial College London (London, UK) by two people only: a consultant clinical oncologist and a data analyst.
Our first PhD student, Dr Seema Dadhania, creates and starts her clinical trial, "BrainWear".
Miss Radvile Mauricaite joins the team as our new data analyst working on a project involving national patient-level data ("Gliocova") among other exciting projects (e.g., CURIE, image segmentation).
A new PhD student, Mr Dekai Zhang, joins the Lab to work on his Federated Explainable AI project.
Dr Jonathan Gregory, a formal consultant orthopaedic oncological surgeon, is the new addition to our lab as a honorary research fellow.
Novel addition to the Lab! Our fourth PhD student, Miss Qiquan Wang, works on modern statistics and statistical machine learning.
Dr Andrew Ho re-joins us for his MD looking at outcomes in patients with brain metastases.
2016 - now
Many undergraduate, MRes & MSc students have joined us to complete their thesis and/or research projects and a few had papers published in conferences and peer-reviewed journals.