Machine Learning
Citizen Science
People-powered research, or citizen science, is the participation of non-experts in scientific research. There are many ways to take part in citizen science, but one popular way is through the Zooniverse platform.
In Utero
Stillbirth is the result of varied processes taking place within both the mother’s and baby’s organs during pregnancy – a time of rapid changes.
Applied Biological Data Science
How could we build cutting-edge Artificial Intelligence tools to translate biological data into scientific insights and ultimately to guide medical decision-making?
Machine Vision for Bioimaging
Many biological questions can only be answered through visualisation. Seeing is believing, however seeing something that is biologically interesting usually also requires image processing to turn that qualitative observation into quantitative information.
Biological Data Science
How could we build cutting-edge AI tools to translate biological data into solutions and guide better decision-making?
Quantitative Biology Across Scales
Our aim: To combine innovative imaging techniques and AI in ways that will allow researchers to flexibly image across large and small scales – from seeing whole organs to views of cells and the intricate structures within them – and with these, to transform how doctors treat patients.
Artificial Intelligence and Informatics for Predictive Biology
Our aim: To embed data management and science into all of our research groups to best use AI and machine learning to drive life sciences research and create new research tools.
Using AI to improve the analysis of 3D biological images
Scientists have developed a new machine learning model, known as Affinity-VAE, that improves the analysis of 3D biological images in fields such as cryo-electron tomography (cryo-ET). By making use of prior knowledge about protein structures, the model can identify clusters…