AI-driven dataset to reveal new insights around diabetes
In a first, a team of scientists has introduced a flagship AI dataset from a study of biomarkers and environmental factors that might influence the development of type 2 diabetes.
Since the study participants include people with no diabetes and others with various stages of the condition, the early findings hint at a tapestry of information distinct from previous research, according to the report published in the journal Nature Metabolism.
“We see data supporting heterogeneity among type 2 diabetes patients — that people aren’t all dealing with the same thing. And because we’re getting such large, granular datasets, researchers will be able to explore this deeply,” said Dr Cecilia Lee, a professor of ophthalmology at the University of Washington School of Medicine in the US.
For exampl...
