We are a research group based in the UCL Division of Psychiatry. We use data science and digital methods to improve outcomes for people with mental health problems
The aiMH Lab is led by Joseph Hayes, Professor of Psychiatry in the Epidemiology and Applied Clinical Research Department and Honorary Consultant Psychiatrist at Camden and Islington NHS Foundation trust
aiMH Lab Projects
Personalised medicine aims to assign a patient the optimal treatment, based on their predicted response; thereby moving from average group outcomes towards the prediction of outcomes for individual patients
People with mental illness are known to be at increased risk of a range of physical health conditions, at a younger age, and suffer worse outcomes related to these conditions
Drug-repurposing, which finds new indications for existing drugs, has recently emerged as a viable, efficient, low-risk and cost-effective method of improving treatment
Ecological momentary assessment
Ecological momentary assessment involves repeated sampling of patients' current behaviours and experiences in real time, in the patients' natural environments
juli is a digital platform that supports people with chronic health conditions like asthma, migraine, depression, bipolar disorder, hypertension or chronic pain through a number of evidence based approaches
