Our NLP research has been published in BMC Psychiatry! Fast Data Science has been working on the Harmony project in collaboration with UCL, Ulster University, and Universidade Federal de Santa Maria. Harmony is an open-source natural language processing tool designed to revolutionise mental health research as well as an AI research project.
AI in science and research Artificial intelligence (AI) has emerged as a revolutionary force in science and research, transforming how we approach, analyze, and interpret data. The integration of AI technologies into scientific research has opened up new avenues for discovery, significantly improving efficiency, accuracy, and scope of research activities. In this blog, we will explore the various ways AI is being utilized in science and research, along with some comparative analytics to highlight its growing impact.
Above: video of Thomas Wood presenting Harmony at the Pydata on 27 March 2024
Above: video of Thomas Wood presenting Harmony at the AICamp meetup on 27 March 2024
We are excited to announce that our data harmonisation project Harmony has reached the final round of the Wellcome Data Prize in Mental Health. Only three teams were chosen for this stage. The prize is awarded to projects that use data to improve mental health research and practice. Fast Data Science is working on Harmony in collaboration with Ulster University, University College London, and the Universidade Federal de Santa Maria. Harmony has been a real team effort with some fantastic colleagues around the world, and we are looking forward to seeing our harmonisation tool facilitate mental health research across the globe.
Can data science be used to improve mental health? Can we use data analysis to deal with mental health problems like depression and dementia, or to monitor and improve the symptoms of impaired cognitive function, for example?
Our NLP research has been published in Gates Open Research! Clinical trials are the backbone of medical progress, but a worrying trend is emerging: a large portion end without delivering useful results. This “uninformativeness” wastes valuable resources and delays advancements.
Do you need to compare questionnaire data across studies? Are the items inconsistent, or are there different versions of the same questionnaire floating around? Do you have questionnaires written in different languages that you would like to compare?
We have been developing a tool using Natural Language Processing which is designed to help researchers in the social sciences to harmonise datasets from different contexts. This is part of a wider project called Harmony which is part of an entry we are making to the Wellcome Mental Health Data Prize, together with the Centre for Longitudinal Studies at UCL, Ulster University and Universidade Federal de Santa Maria in Brazil.
We excited to announce that we are working on a new AI research project called Harmony for the Wellcome Trust Mental Health Data Prize - this uses natural language processing to combine data in the social sciences from different questionnaires, such as the GAD-7 and Beck’s Anxiety Inventory, even when the questionnaires are in different languages!
What we can do for you
