The Jean Golding Institute support a number of health-related projects
Mood music - inferring wellbeing from Spotify
Does what you listen to reflect how you feel? And if it did, what would you think about using your music history to track your mood?
Decoding pain: real-time data visualisation of human pain nerve activity
We are developing new tools to analyse human pain nerve activity in real time. This will aid diagnosis in chronic pain and enable individualised, targeted treatments.
Predicting cause of death and the presence of bad healthcare practice from free-text summaries
Machine learning was used to predict cause of death from free text summaries of those diagnosed with prostate cancer; and the presence of bad practice in health and social care for those who have died with learning difficulties.
Reusing qualitative datasets to understand shifts in HIV prevention 1997-2013
Qualitative data re-use and open archiving
Developing computational tools for analysis of exome and data in highly phenotyped rare disease cohorts
A new interdisciplinary collaboration between renal biology and engineering mathematics to apply novel machine learning methods to investigate genetic signatures.
Virtual reality avatar as a diagnostic aid for psychosis: Data-driven approaches for mental health diagnostics
This project is a pilot study to investigate the use of social movement differences as a diagnostic aid for psychosis.
Passive perception of speech in children with autism: Interrelating neuroimaging and interpretative paradigms
The aim of this project was to understand how minimally verbal Autism Spectrum Disorder (ASD) children perceive speech sounds and how this relates to their perception and communication abilities