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[London] Harmony Meta: Using AI to unlock 5.5M variables in UK longitudinal studies
We are looking forward to welcoming Dr. Bettina Moltrecht and Thomas Wood to introduce Harmony Meta, a groundbreaking platform developed over the past year to bridge the gap between disparate study catalogues and registers.
While traditional data discovery relies on exact keyword matching, Harmony Meta utilises large language models and vector indexing to allow for semantic searching across 5.5 million variables.
Abstract: This session will demonstrate how researchers can now locate longitudinal data using approximate synonyms.
For instance, a search for "dyslexia" will successfully retrieve variables related to "difficulty reading." The platform indexes nearly every major longitudinal study ever conducted in the UK, including the Millennium Cohort Study, the 1970 British Cohort Study, and Born in Bradford.
The presenters will discuss the technical backend of converting millions of variables into vectors and the practical implications for harmonising data across different cohorts to identify population mental health trends.
Who should join:
* This is open to members of the public
* Anyone working with mental health, psychology data and questionnaires
* People in the healthtech community
* Anyone with interests in AI and health
Host organisations:
EPSRC DRIVE-Health and Department of Biostatistics and Health Informatics at King's College London
Community partner:
Techbrews a community founded by Terence Tan, an experienced tech/healthcare leader dedicated to empowering individuals across the Pacific in navigating the evolving landscape of healthcare and lifesciences. With a mission to support professionals in embracing various careers and entrepreneurship in this industry, Tech Brews offers a wealth of resources, including events, special roast sessions, and networking opportunities tailored to the unique needs of the trans-Pacific Region.
Chair:
David Tang - Research Fellow, KCL; Clinical AI and Data Integration