Data and technology for cancer care
Edinburgh Cancer Informatics had the pleasure of attending the Cancer Research UK Parliamentary Reception back in February. Represented by Mahéva Vallet, Mark Stares, Tamsin Nash, and Caleb McDougall-Monk, the team presented and answered questions on a wide range of subjects across the University and NHS teams. CRUK Scotland gave us the following write-up: “Cancer Informatics […]
We’re hiring! Edinburgh Cancer Informatics are excited to announce that we are recruiting for the position of Post-Doctoral Research Fellow within the team. If this sounds interesting to you, more details can be found here. The deadline is 17th March 2025, 23:59.
DataLoch, in collaboration with ECi are proud to announce our membership of the UK Real-World Evidence Network. Operated by Health Data Research UK, this pilot will prove the potential of Observational Medical Outcomes Partnership (OMOP) and the Common Data Model (CDM). This partnership will centre on the challenge of combining data from multiple sources to […]
Edinburgh Cancer Informatics are part of a large partnership of Universities and learning centres from across Europe, taking part in a mass data standardisation programme to investigate cancer survival rates from date of diagnosis. The aim of this European-wide project is to examine the incidence, and survival of certain cancers to see how well mathematical […]
A huge congratulations are in order to Professor Peter Hall and Doctor Mahéva Vallet, who have both had work published in the journal ‘The Breast’, this week. An abstract of the paper, entitled “Enhancing clinical decision support with genomic tools in breast cancer: A Scottish perspective” can be found below. The Oncotype DX Breast RS test has […]
As seen at the CRUK Data Conference ’24 Estimation of prognosis is vital for informing decisions around care and its value, especially in patients with poor prognosis cancer (PPC) where there is a risk of under- or over-treatment. Established risk stratification tools can be derived from routine healthcare records, allowing population-level research. A well-used example […]
Lung cancer is the most common cause of cancer death in the UK. Our study aims to assess whether early prehabilitation is feasible in these patients. Many patients aren’t fit for anticancer treatment, due to a combination of burden of disease, patient fitness and comorbidities. These issues affect energy levels and performance status, which results […]
Innovative new medicines used in conjunction with neoadjuvant chemotherapy (NACT) may lead to a higher pathological complete response (pCR), and therefore a better chance of survival for patients diagnosed with eTNBC cancer. The Edinburgh Cancer Informatics, in partnership with DATA-CAN, ran a retrospective, longitudinal cohort study using routinely collected data to better describe differences in […]
Collaboration with the Edinburgh Cancer Informatics team enabled an investigation of the Real-World Impact of stereotactic ablative body radiotherapy (SABR) along with other conventional methods (conventional radiotherapy and surgery) on Stage I Non-Small-Cell Lung Cancer (NSCLC) patients in South-East Scotland. A total of 1143 patients discussed at MDM between January 2012 and December 2019 were selected for this study from the Edinburgh Cancer Centre Lung […]
Brain Tumour Pathway – a REDCap Project Critical to accelerating the discovery of new therapies for brain tumours and their translation into the clinic, is to investigate diagnosis, treatment and outcomes at a population level, mapping this to molecular interrogation of resected tumour tissue, and liquid biopsies from patients. In collaboration with researchers at […]