Harmony Meta September Seminar Series

July 28, 2026

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 utilizes 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 harmonizing data across different cohorts to identify population mental health trends.

Try the Tool: https://harmonydata.ac.uk/search

Seminar Series Event : "Harmony Meta: Using AI to Unlock 5.5 Million Variables in UK Longitudinal Studies"

Date and Time: Thursday 24 September 2026, 15:00 – 16.00 (BST)

Location: Venue to be confirmed.

Attendance: Mandatory for all DRIVE-Health students; a calendar invitation has already been sent.

Registration: Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend.

Biographies

Dr. Bettina Moltrecht

Dr. Bettina Moltrecht is a mental health researcher based at University College London (UCL) and Anna Freud a UK-based mental health charity for children and families. Bettina combines a clinical, tech and research background, and has been co-leading the Harmony project with the aim to enhance population mental health research. Bettina is co-founder of UCL's Digital Mental Health Hub, and is co-investigator on various clinical trials to evaluate mental health interventions in the NHS.

Thomas Wood

Thomas Wood is the founder of Fast Data Science and the lead developer for the Harmony Meta backend. He holds a Master’s in Physics from Durham University and a Master’s in Computer Speech, Text and Internet Technology from the University of Cambridge. With over a decade of experience in machine learning and NLP, Thomas has consulted for the NHS, Tesco, and Boehringer Ingelheim. He also works as an expert witness and is working on NLP solutions for clinical trials, and generative AI solutions for legal question answering.

Note on Funding and Partners: Harmony Meta was funded by the ESRC and developed in collaboration with Population Research UK (PRUK), the UCL Centre for Longitudinal Studies, DATAMIND UK, The Alan Turing Institute, and UK Research and Innovation.

< Older Post

Newer Post >

Prof Honghan Wu November Seminar Series

July 28, 2026

We are looking forward to welcoming Professor Honghan Wu, Professor of Health Informatics and AI at the University of Glasgow, who will deliver his talk “Large language model and Radiology: how to facilitate human and AI collaboration? " as part of our Seminar Series. Abstract: In this upcoming talk, Professor Honghan Wu explores the essential shift from viewing AI as a potential replacement for radiologists to recognizing it as a critical collaborative partner. Moving beyond basic tasks like detection and triage, the presentation highlights how AI can address practical clinical "pain points," such as reducing automated protocoling time by up to 60% and decreasing the time spent communicating with providers and patients by 30%. Professor Wu will present recent research on using knowledge-retrieval and Large Language Models for clinical report error correction and generation. The session concludes with an examination of the real-world deployment lifecycle, discussing the challenges of monitoring the over 700 FDA-cleared radiology AI devices currently in practice Seminar Series Event : “Large language model and Radiology: how to facilitate human and AI collaboration?" Date and Time: Thursday 25 November 2026, 15:00 – 16.00 hrs (GMT) Location: Venue to be confirmed. Attendance: Mandatory for all DRIVE-Health students; a calendar invitation has already been sent. Registration: Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend. Biography Honghan Wu is a Professor of Health Informatics and AI, based in the School of Health and Wellbeing of the University of Glasgow, where he leads the research theme of data science and AI. Prof Wu is a co-director of Health Data Research Scotland. He also is an honorary professor at Hong Kong University, an honorary associate professor at Institute of Health Informatics, UCL, and a former Turing Fellow of The Alan Turing Institute, UK's national institute for data science and artificial intelligence. Prof Wu holds a PhD in Computing Science. His current research focuses on machine learning, natural language processing, knowledge graph and their applications in medicine.

First Keynote Speaker Announced

May 18, 2026

We are delighted to welcome Luis Garcia-Gancedo , Executive Director and Head of Digital Medicine at GSK , to speak at our symposium and partner showcase next month. Luis will deliver his talk “Digital Medicine in Clinical Development: Innovation at the Industry-Academia Interface " Abstract: Digital Medicine is transforming clinical trials, with wearable devices, digital endpoints, decentralised trial technologies and AI-driven insights already integrated into many clinical development programmes. This presentation will provide an overview of the current landscape and will discuss the opportunity for industry-academia collaborations to overcome existing barriers (including evidence generation to support validation and regulatory acceptance) to propel the field forward for the benefit of patients. Date and Time: Thursday 11 June 2026, 10:00 hrs (BST) Location: The Science Gallery London, Guy's Campus Tickets are free, please register as spaces are limited : https://buytickets.at/kingsepsrcdrivehealthcentrefordoctoraltrainingindatadrivenhealth/2143742 Biography Luis Garcia-Gancedo is an Executive Director and Head of Digital Medicine at GSK. In this role, he streamlines the consideration of digital health technologies in GSK’s respiratory, immunology and inflammation clinical trials, transitioning from an opportunistic to a strategic approach for developing and deploying novel digital solutions that address key clinical development challenges. Prior to his current role, he was with AstraZeneca, GSK, and the University of Cambridge. Luis holds a BSc/MSc in Physics, a PhD in Engineering and an Executive MBA.