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 ## An Introduction to Our Work
 
-> We are the Biomedical Informatics group, part of the institute for [Adaptive and Neural Computation](http://web.inf.ed.ac.uk/anc) in the [School of Informatics](http://inf.ed.ac.uk) at the [University of Edinburgh](http://www.ed.ac.uk).
+> We are the Biomedical Informatics Group, part of the institute for [Adaptive and Neural Computation](http://web.inf.ed.ac.uk/anc) in the [School of Informatics](http://inf.ed.ac.uk) at the [University of Edinburgh](http://www.ed.ac.uk).
 
 *We develop novel statistical and machine learning approaches to help us better understand human disease.*
 
 Our work ranges from traditional analysis of high-throughput molecular data such as those assessing gene expression and genetic variation information using sequencing technologies, to highly mixed collections of data.
 
 Most of our ongoing work focusses on working with these mixed data collections. Over the last 5-10 years it has become increasingly common for data derived from biological samples to be comprised of several different data types. In many cases formally integrated these "multi-modal" sets allows us to learn across the data, typically increasing signal, minisiming noise, and allowing us to access more of the information space.
 
-Our focus has moved increasingly into the clinical/biomedical domain and most of our current research work uses data derived directly from groups of patients. These data can arise from large international disease baed initiative such as:
+Our focus has moved increasingly into the clinical/biomedical domain and most of our current research work uses data derived directly from groups of patients suffering from specific conditions who have consented to have some of their data shared for research puroposes. These data are made available to researchers in a carefully controlled manner to preserve patient privacy and to ensure that the data is used only for the purposes originally intended. Some example of disease based initiatives that we work with are:
 
 - [The Parkinson's Progression Markers Initiative](https://www.ppmi-info.org)
 - [The Simons Foundation for Autistm Resach Initiative (SFARI)](https://www.sfari.org)
 - [The Cancer Genome Atlas (TCGA)](https://www.cancer.gov/ccg/research/genome-sequencing/tcga)
 
-or biobank type initiatives that comprise a plethora of information about large cohorts of people extending into the thousands or 100s of thousands:
+We also work with initiatives that are population rather than specifically disease based. Once again access to these data is strictly regulated and conducted in accordance with the strict usage conditions of the data provider, preserving the privacy and acknowledging the consent of the people involved. These initiatves contain hugely valuable and varied information about participants extending into the thousands or 100s of thousands in number. Some examples of population based initiatives that we work with are:
 
 - [Generation Scotland](https://www.ed.ac.uk/generation-scotland)
 - [UK Biobank](https://www.ukbiobank.ac.uk)

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