Data and AI Updates
Our Theme News
Data & AI
Our research
Artificial intelligence and data science in multiple long-term conditions
Our research is focused on using artificial intelligence (AI), which is a type of computer technology that can think and learn like humans. AI is really good at noticing patterns, especially in big amounts of data. We use AI to look at electronic health records, which are digital versions of a patient’s medical history.
Aims
Our Goal
The main goal of our research is to find patterns that can tell us when people might get sick or have health problems, even before these issues become serious. We look for these patterns in two ways:
1. Population Level
This means we try to find health risks that affect a lot of people, like how often a certain disease happens in a specific area.
2. Individual Level
This means we look at each person’s records to predict their personal health risks, like if someone is more likely to get diabetes because of their health history.
Patterns
How we can help
By finding these patterns, we can help doctors and nurses do a few important things:
Spot health problems early: This helps them treat patients before their conditions get worse.
Plan better care for patients: Especially for those with many long-term health issues, which helps save time and resources.
Secure Data Environment
To make sure all of this data is safe and private, we are setting up a special system called a Secure Data Environment (SDE). This system lets approved researchers look at health records without seeing any personal details, like names or addresses. This is important to protect patients’ privacy.
Meet the Data and AI theme memebers
Prorfessor Nick Reynolds
Artificial intelligence (AI) and data sciences in multiple long-term conditions Co-Theme Lead
Professor Michael R Barnes, PhD
Artificial intelligence (AI) and data sciences in multiple long-term conditions Co-Theme Lead
Dr Ayesha Sahar
Artificial intelligence (AI) and data sciences in multiple long-term conditions, Research Associate
Zainab Awan
Artificial intelligence (AI) and data sciences in multiple long-term conditions, Data Scientist
Shaurya Pal
Artificial intelligence (AI) and data sciences in multiple long-term conditions, Research Assistant
Liyuan Zhu
Artificial intelligence (AI) and data sciences in multiple long-term conditions, PhD Student
Henry Song
Artificial intelligence (AI) and data sciences in multiple long-term conditions, PhD Student
Development of DeepMerkel
Determining the course and severity of aggressive skin cancers enabling medics to personalise treatment.
Unveiling Patterns in Healthcare Data through Advanced Modeling.
Data modeling provides a solution by analyzing historical data to identify and predict these connections.