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Biological Network Analysis in R – BioNAR

…Our new R package! Methods developed in social network science have been successfully applied in the biomedical domain over for the past two decades. Examples include splitting biological networks into communities, to discover highly enriched complexes with specific diseases and functions. We developed the Bioconductor package BioNAR to provide biomedical researchers with a network analysis […]

How safe is pregnancy after breast cancer?

This Data Linkage study exploits historically strong maternity and cancer registration data in Scotland to produce more evidence to help women in their decision making on pregnancy after treatment for early breast cancer.  The impact of childbirth on survival after breast cancer remains controversial. National cancer and birth data were used to analyse an unbiased […]

PhD studentship

We have an exciting PhD studentship opportunity starting September 2022, please use the link below for additional information:  A multimodal deep learning model to predict individual cancer patient survival probabilities     Closing date for applications is 27 May 2022. Feel free to share if you know anyone who would be interested!

Standards for Real World Evidence Studies

We believe that independance and transparency are a central requirement for the valid generation of Real World Evidence. This special issue of Value in Health highlights some of the issues. https://www.valueinhealthjournal.com/issue/S1098301520X00118

Creation of the first national linked colorectal cancer dataset in Scotland

Prospects for future research and a reflection on lessons learned: The Bowel Cancer Intelligence UK Hub are working with Public Health Scotland and the University of Edinburgh to make Health Data available and research ready for the colorectal cancer research community. This webinar summarises the project and future opportunities. This introduces the paper sumarising the […]

Lung cancer admission patterns during the pandemic

Data from a single-center study in Scotland suggested that there were more patients with lung cancer admitted acutely with cancer, non-COVID-19-related illness during the COVID-19 pandemic. “Early and late lockdown were characterized by a reduction in self-presentation and longer resulting admission suggesting that patients were admitted with more complex pathology and consequently had longer admission,” […]

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