Completed Latvian Study Validates Machine Learning Algorithm for Prediabetes Risk Prediction in Overweight Adults
247 Health News Editorial
·13 May 2026
·4 min read
·clinical-trialsA completed Latvian study validated a machine learning algorithm for predicting prediabetes risk in overweight adults using continuous glucose monitoring and wearable technology. The 77-participant study offers insights into next-generation diabetes prevention screening.
Originally reported by ClinicalTrials.gov
References
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- 8.Richter, B., Hemmingsen, B., Metzendorf, M. I., & Takwoingi, Y. (2018). Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database of Systematic Reviews, 10(10), CD012661. https://doi.org/10.1002/14651858.CD012661.pub2
- 9.Sokolovska, J. (2024). Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management [Clinical trial registration NCT06195566]. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06195566
- 10.Tabák, A. G., Herder, C., Rathmann, W., Brunner, E. J., & Kivimäki, M. (2012). Prediabetes: a high-risk state for diabetes development. The Lancet, 379(9833), 2279-2290. https://doi.org/10.1016/S0140-6736(12)60283-9
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- 12.Vettoretti, M., Facchinetti, A., Sparacino, G., & Cobelli, C. (2020). Type-1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments. IEEE Transactions on Biomedical Engineering, 65(6), 1281-1290. https://doi.org/10.1109/TBME.2018.2823763
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247 Health News Editorial
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