OPTIMAL - OsteoPorosis Treatment Identification using Machine Learning
Research type
Research Study
Full title
OPTIMAL - OsteoPorosis Treatment Identification using Machine Learning
IRAS ID
313853
Contact name
Christopher Sainsbury
Contact email
Sponsor organisation
NHS GG&C R&I
Clinicaltrials.gov Identifier
Duration of Study in the UK
0 years, 6 months, 1 days
Research summary
OPTIMAL is a pilot feasibility study for a machine learning derived enhanced screening software for osteoporosis. This tool has been created using machine learning, based on data from NHS Greater Glasgow and Clyde. The study will contact individuals deemed at high risk by the study (750 patients will be re-identified, and these will be contacted starting from the highest risk until 250 patients are recruited) and perform DXA scans, clinical review, and bloods tests that are relevant to osteoporosis. This data will then be compared to the predictions made by the OPTIMAL enhanced screening tool, in order to validate its efficacy.
REC name
Wales REC 7
REC reference
22/WA/0269
Date of REC Opinion
8 Nov 2022
REC opinion
Further Information Favourable Opinion