Skip to main content
Search form
Search
English
Global
Australia
China
India
United Kingdom
Global
United Kingdom
India
China
Australia
DONATE
icon
Donate
George Clinical
Contact
About us
Our mission
History
How our research is different
Annual reports and Financial statements
Advisory Committee on Research, Impact and Strategy
News & Events
Events
Event series
Using big data to determine the association between blood pressure and aortic stenosis and regurgitation
Media coverage
Profile stories
Videos
Newsletters
Our work
Ongoing projects
Archived projects
Project funders
Our impact
Case studies and examples
How a lifesaving SMS program won the Google Impact Challenge
Innovating dialysis and kidney failure treatment
PEDro’s global impact
A ray of hope for primary health care delivery
Training journalists for better public health reporting
Using mobile technology to treat mental health in rural India
World's largest home based stroke rehabilitation trial shows family rehabilitation is ineffective
Impacting policy and government recommendations
People
Careers & Learning
Why work at the George?
Internships, fellowships and scholarships
Applying for a job in India
Publications
Journal articles
Academic reports
Books
Book chapters
Support us
Donate
Philanthropic opportunities
Media
Cardiovascular
Diabetes
Health system research
Kidney disease
Neurology and mental health
Road safety and injury
Thought leadership
Promoting healthy environments
Transforming health systems
Women’s health equity
Activities
Select a country
Global
Australia
China
India
United Kingdom
Home
»
News & Events
»
Events
»
Using big data to determine the association between blood pressure and aortic stenosis and regurgitation
Using big data to determine the association between blood pressure and aortic stenosis and regurgitation
Date/time:
28/10/2015 - 10:30
Event location:
Via video-conference
Event Series:
India-UK Seminars
Presented by Amit Kiran
English