© Pint of Science, 2026. All rights reserved.
As technology becomes increasingly woven into our lives, how can it support human wellbeing? We will explore the intersection of artificial intelligence, medicine, and society. Discover how robots are being designed to care and what happens when technology has biases, and see cutting-edge 3D models for breast cancer and machine learning predictions for predicting individual recovery after stroke.
Teaching Robots to Care
Ali Al Abbas
(PhD Student )
As the global population ages, our healthcare systems are struggling to keep up. To bridge this gap, we are developing rehabilitation robots that learn just like humans do: by observing.
Traditionally, robots required complex programming to perform tasks. New approach uses Vision-based Learning, allowing a robot to watch a video of a therapist and understand the exercise to replicate it.
Traditionally, robots required complex programming to perform tasks. New approach uses Vision-based Learning, allowing a robot to watch a video of a therapist and understand the exercise to replicate it.
The Tumour Orchestra - Developing a Cellular 3D Model of Triple Negative Breast Cancer
Maria Siegle
(PhD Student)
A tumour is a very complex structure with many components working together enabling development, growth and survival in the human body - very much comparable to all the different instruments playing in an orchestra and factors involved in ensuring a successful musical performance. My research focusses on developing cellular models that adequately represent this complexity of breast cancer tumours in the human body. This involves culturing the cells in a three-dimensional setting and including also other cell types such as stroma cells, immune cells or endothelial cells, which are found in blood vessels. I am particularly interested in the inducible Nitric Oxide Synthase (iNOS), a protein that is often overly present in certain types of breast cancer, most commonly in Triple Negative Breast Cancer. Using my 3D models, I can investigate how the increased iNOS levels can change proliferation, drug response and migration in this subtype of breast cancer.
Is AI Sexist? - Womens Football and Biased algorithms
Luke Canavan Dignam
(PhD Student)
My PhD looks at whether AI treats women’s sport fairly. I use football video to test if algorithms miss key head impacts in female athletes, and whether better data can build fairer tools for concussion detection and safer sport.
Map data © OpenStreetMap contributors.
Other The Hole in the Wall events
2026-05-18
Nature Uncovered: From Venom to DNA
The Hole in the Wall
17 Eyre Street, Galway, H91 E8K8, Ireland
2026-05-19
Mind, Body, and Belonging: Health, Experience, and Identity
The Hole in the Wall
17 Eyre Street, Galway, H91 E8K8, Ireland