COVID-19

Biological and Chronological Ageing Population

Biological and Chronological Ageing Population

International research collaboration between the Buck Institute, Stanford 1000 Immunome Project, HLPO.Life and KCL looking at: Age-dependent and Independent Symptoms and Comorbidities Predictive of COVID-19 Hospitalization We use advanced bioinformatics techniques to identify features that predict disease severity and can be utilised to inform severe […]

The CEDiD Study – The COVID-19 Early Detection in Doctors and Healthcare Workers using Wearable Technology

The CEDiD Study – The COVID-19 Early Detection in Doctors and Healthcare Workers using Wearable Technology

A single-center, prospective observational study of healthcare workers in high-risk areas looking to protect the NHS workforce and reduce hospital-associated transmission of COVID-19. As all study participants are monitored with cutting-edge wearables, regularly tested and their clinical symptoms monitored, data will help in determining the […]

Re-purposing of Lipid Lowering & Metabolic Therapeutics to Reduce the Severity of Covid-19 Infection in the Community

Re-purposing of Lipid Lowering & Metabolic Therapeutics to Reduce the Severity of Covid-19 Infection in the Community

International Research Collaboration to identify off-label common readily available and affordable drugs that may treat or ameliorate Covid-19 symptoms and reduce the need for medical review and/or hospitalisation. We study the role of cholesterol level in the process of the coronavirus infection and focus on […]


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