Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer

Nature·Feb 16

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Machine learning has been used to predict insulin resistance, which is reportedly a risk factor for 12 types of cancer. Additionally, research suggests that insulin resistance is linked to other health issues, including cardiovascular disease and hyperglycemia. Various studies are exploring the use of machine learning and different data sources, such as wearables and retinal images, to predict and understand insulin resistance and related conditions.

Full coverage

ML‑Predicted Insulin Resistance Identified as Risk Factor in 12 Cancers

Genetic Engineering and Biotechnology News·Feb 16

Insulin resistance predictor highlights cancer connection | The University of Tokyo

u-tokyo.ac.jp·Feb 16

Insulin Resistance Indices Predict Mortality in Cardiovascular Disease: A Large-Scale NHANES Study With Machine Learning Validation

Wiley Online Library·Nov 19

Insulin resistance prediction from wearables and routine blood biomarkers

Nature·Mar 16

Interpretable Machine Learning for Predicting Hyperglycemia Risk in Ps | CCID

Dove Medical Press·Dec 30

An online interpretable machine learning model for predicting cardiometabolic multimorbidity risk in patients with type 2 diabetes mellitus | Scientific Reports

Nature·Jan 21

Using retinal images to classify metabolic syndrome

Ophthalmology Times Europe·Apr 20

Accurate prediction of hypoglycemia and hyperglycemia using machine learning in critically ill patients

Nature·Dec 18

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