EAS-Lyon 2024
We tested the hypothesis that machine learning could identify individuals in a UK primary care setting for whom personalised cholesterol-lowering therapy might be more appropriate than guideline-based recommendations.
ADA-SanDiego 2023
A proof-of-concept analysis that demonstrates the utility of a neural network to predict the development of one or more comorbidities based on data routinely collected in primary care, published in Diabetes, a journal of the American Diabetes Association.