Research projects

Using statistics to find the parts of the human genome that relate to our risk of heart and circulatory diseases

University of Cambridge

Dr Adam Butterworth

Using machine-learning for personalised risk prediction of heart and circulatory disease

University of Cambridge

Professor Emanuele Di Angelantonio

To find out more, or to support British Heart Foundation’s work, please visit www.bhf.org.uk. You can speak to one of our cardiac nurses by calling our helpline on 0808 802 1234 (freephone), Monday to Friday, 9am to 5pm. For general customer service enquiries, please call 0300 330 3322, Monday to Friday, 9am to 5pm.

British Heart Foundation is a registered Charity No. 225971. Registered as a Company limited by guarantee in England & Wales No. 699547. Registered office at Greater London House, 180 Hampstead Road, London NW1 7AW. Registered as a Charity in Scotland No. SC039426

Research projects

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Using computer algorithms to look for heart attack and stroke risk factors in blood samples

Understanding how high blood pressure causes kidney damage

Testing a new strategy to treat inflammation in heart disease

Using statistics to find the parts of the human genome that relate to our risk of heart and circulatory diseases

Using machine-learning for personalised risk prediction of heart and circulatory disease

Preventing brain inflammation during a stroke

Working out the processes underlying pre-eclampsia

Machine learning for personalised prescribing after a heart attack

A new way to scan for inflammation in the heart and blood vessels

Identifying the molecules needed to make new mitochondria

Can we repair damaged endothelial cells?

Can HDL therapy stop atherosclerosis in its tracks?

Research projects

Search

Filter by

View all of our research

Using computer algorithms to look for heart attack and stroke risk factors in blood samples

Understanding how high blood pressure causes kidney damage

Testing a new strategy to treat inflammation in heart disease

Using statistics to find the parts of the human genome that relate to our risk of heart and circulatory diseases

Using machine-learning for personalised risk prediction of heart and circulatory disease

Preventing brain inflammation during a stroke

Working out the processes underlying pre-eclampsia

Machine learning for personalised prescribing after a heart attack

A new way to scan for inflammation in the heart and blood vessels

Identifying the molecules needed to make new mitochondria

Can we repair damaged endothelial cells?

Can HDL therapy stop atherosclerosis in its tracks?

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