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Ward et al., developed an integrated artificial intelligence-guided imaging, processing, and statistical pipeline enabling unbiased, high-throughput analysis of more than 2 million candidate islets from non-diabetic and #type1diabetes donors. www.biorxiv.org/content/10.6...
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Human pancreatic islets exhibit greater anatomic and cellular heterogeneity than previously appreciated, raising fundamental questions about how their composition varies with age, sex, region, and isl...
www.biorxiv.org
AI-guided analysis of human pancreatic islet sociology reveals distinct cell compositional changes in type 1 diabetes
Islet Biology Lab - UMH