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Welcome to our viewers from IF: Oxford. We've put all our family friendly resources on the Oxford Biopatch in this blog post. Do let us know if you have a go at the crafting activities described at the end of this page.
Our Projects
PHI has work that spans the worlds of climate change and health equity. Explore some of the themes of our work below, and find project pages, links and publications within them.
Amelia Doran
Amelia is a Science Communicator, and joined the PHI Lab in September 2023. She has a background in Biochemistry and research experience in science communication, and now leads on the various parts of PHI’s outputs.
Real-World Data and Federated Analytics
One key feature of our research is using data collected from the world around us. This could be de-identified patient records, weather station measurements or satellite imagery. This real-world international evidence uses federated analytics to safely and securely combine individual person-level data into valuable learning.
AI for Planetary Health
Artificial Intelligence is one of the biggest areas of development and innovation today. In our research, we are applying AI technology to tackle one of the greatest challenges facing healthcare systems across the globe: the impact of the environment and climate change.
COVID-19 Pandemic Response
Medical statistics was a key part of the response to the COVID-19 pandemic. Like many teams, we applied our experience with data analysis, real-world evidence and international collaboration to help healthcare systems around the world respond to the health crisis, and learn from it.
Machine Learning and Medical Statistics
Our lab applies machine learning in medical statistics, allowing us to identify patterns and insights in large amounts of health data. This can lead to improved diagnoses, treatments, and overall healthcare outcomes.
Fair and Safe Medical AI
As artificial intelligence continues to grow in its power and applications, we are harnessing its power to improve healthcare, making it fair and safe for all.