Themes
Cardiovascular and cerebrovascular diseases
We are examining how Full Blood Count tests can be used to identify patients with heart and brain diseases earlier.
Haematological disorders
We are investigating how Full Blood Count data can be used to improve the diagnosis of blood disorders.
Machine learning
We are developing sophisticated machine learning models for use with Full Blood Count data.
Malaria and other infectious diseases
Can our algorithms be applied to other infectious diseases, such as malaria?
New emerging outbreaks
Can we use our detection systems to identify new, unknown pandemics?
Pregnancy
We are exploring whether we can use Full Blood Count data to identify women at risk of serious complications during pregnancy.
Renal cancer
Can Full Blood Count data be used to identify individuals at high risk of renal cell carcinoma?
SARS-CoV-2
We have developed machine learning models which can detect the SARS-CoV-2 outbreak in Cambridge.