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 […]
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 […]
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 […]