AI Models Detect Type 1 Diabetes Risk Before Clinical Onset
Two studies demonstrate how AI models can significantly improve early detection of type 1 diabetes, enabling earlier intervention.
Two studies demonstrate how AI models can significantly improve early detection of type 1 diabetes, enabling earlier intervention.
A blood test measuring IL-6 levels may help identify those with type 2 diabetes who are at high risk of developing obesity-related cancers.
A mathematical calculation based on two values taken from blood enables the reliable and inexpensive diagnosis of diabetes at an early stage.
Adding screening for type 2 diabetes in accident and emergency departments could uncover thousands of previously undiagnosed cases every year.
Read MoreA prototype sensor that measures glucose levels in saliva could eventually offer a simple and painless way for people to monitor diabetes.
Read MoreWhile A1c is the diagnostic gold standard for determining if a patient has diabetes, there are a variety of tests that provide flexibility.
Read MoreADLM, in collaboration with the ADA, released evidence-based guidelines to help diagnose patients with diabetes using the latest lab tools.Â
Read MoreThe U.S. FDA has granted a Breakthrough Device Designation for the Enhanced Liver Fibrosis (ELF) Test from Siemens Healthineers.
Read MoreScientists have taken an important step forward in predicting who will develop Type 1 diabetes months before symptoms appear.
Read MoreOmegaQuant has been awarded a grant to develop a dried blood spot test identifying fatty acid patterns that predict metabolic syndrome and type 2 diabetes as early screening tools.
Read MoreNew research from NIH found that blood glucose levels obtained at childhood examinations predicted future diabetes-related complications.
Read MoreIt’s hoped new understanding of the GCK gene and its role in the development of diabetes could help increase the usefulness of DNA sequencing.
Read MoreDigital Diagnostics, an artificial intelligence diagnostic health care company, has expanded into lab settings in the Southeastern U.S.
Read MoreOrange Biomed is currently conducting studies of a rapid A1c, a glycated hemoglobin analyzer through single-cell analysis of red blood cells.
Read MoreAnalyzing changes to DNA in the blood can improve the ability to predict a person’s risk of developing type 2 diabetes within a decade.
Read MoreThe new panels are designed to target dozens of microbially-derived metabolites across multiple pathways to advance pre-clinical efforts.
Read MoreA recent study compared the gut microbiota and gut-derived metabolites between healthy controls and individuals with fatty liver.
Read MoreA research team has identified a new non-invasive screening method for Type 2 diabetes (T2D) by harnessing urinary acetones.
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