Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
Nature

Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms

Fasting blood glucose (FBG) and glycosylated hemoglobin (HbA1c) are key indicators reflecting blood glucose control in type 2 diabetes mellitus (T2DM) patients. The purpose of this study is to ...
Nature

Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique

Millions of individuals throughout the world suffer from the chronic condition diabetes. It is characterized by elevated blood sugar levels due to inadequate insulin production or utilization. Insulin ...
Healio

Machine learning AI may enhance automated insulin delivery for type 1 diabetes

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Automated insulin delivery can be controlled by a neural ...
News Medical

Machine learning-based models can predict diabetes incidence across several ethnicities

In a recent study published in eClinicalMedicine, researchers developed questionnaire-based models for predicting diabetes mellitus type 2 (T2D) incidence and prevalence across differing ethnicities.
EurekAlert!

A step closer to painless diabetes care: new glucose sensor uses smart materials and machine learning

Organic electrochemical transistor (OECT), a powerful tool for chemical and biological sensing, can operate directly in aqueous environment at low voltages, which makes it ideal for wearable and ...
Medical Xpress

AI model uses glucose spikes to reveal hidden diabetes risk before symptoms appear

To diagnose either type 2 diabetes or pre-diabetes, clinicians typically rely on a lab value known as HbA1c. This test captures a person's average blood glucose levels over the previous few months.