By PhD Student Liyuan Zhu
On 17th October 2025, I was very excited to present my research poster at the NIHR SafetyNet Symposium in Manchester. SafetyNet is a group of six NIHR Patient Safety Research Collaborations (PSRCs) across England. This year’s event had a special theme: “Tackling Inequities in Patient Safety.” It was the first time to bring together researchers, doctors, and patient representatives from across the country to share ideas and thoughts.
The symposium included inspiring talks, research showcases, discussions, and poster sessions. I was especially interested in two keynote talks, one about moving away from a “blame culture” in healthcare, and another about ethnic inequalities in patient safety.
I also learned about many areas I had never thought deeply about before, such as healthcare harms in prisons, inequality in perioperative and respiratory care, and access to medicines for people experiencing homelessness.
These sessions made me realise that inequality in health is a very complex issue. It is shaped by factors like race, social background, environment, and language, and also by how society responds to unfairness itself. These issues are linked together, often trapping those already at a disadvantage. To change this, what we can do is to build a strong “safety net” that supports everyone, especially people who are underrepresented or face extra barriers.
My poster was titled “Predicting Diabetic Eye Disease with AI: Trajectory Embedding and Causal Exploration of Statin Effects.” In simple terms, my study looked at how artificial intelligence (AI) can help predict who might develop diabetic eye disease, a leading cause of sight loss in people with diabetes. I also explored whether statins, common cholesterol-lowering medicines, can help reduce this risk. In addition, we found that there are inequalities between males and females, and among diabetes types. These results suggest that healthcare can be more personalised and fairer for each person.
Attending this symposium was a great experience. I met many passionate researchers who share the same goal: to make healthcare safer and more equal. It reminded me that technology like AI should not only make predictions but also help reduce health inequalities and improve care for everyone.