Anal. Methods, 2023, 15,4926-4937
DOI: 10.1039/D3AY01080E, Paper
DOI: 10.1039/D3AY01080E, Paper
Evita Rostoka, Karlis Shvirksts, Edgars Salna, Ilva Trapina, Aleksejs Fedulovs, Mara Grube, Jelizaveta Sokolovska
A promising trend has been found to predict the presence of type 1 diabetes using PBMC metabolic fingerprinting and machine learning. This will enable extensive monitoring of public health, timely diagnosis of diseases and initiation of treatment.
The content of this RSS Feed (c) The Royal Society of Chemistry
A promising trend has been found to predict the presence of type 1 diabetes using PBMC metabolic fingerprinting and machine learning. This will enable extensive monitoring of public health, timely diagnosis of diseases and initiation of treatment.
The content of this RSS Feed (c) The Royal Society of Chemistry