AI-IR Links Insulin Resistance to 12 Cancers

Researchers from the University of Tokyo, led by Yuta Hiraike, have developed a machine learning model called AI-IR that accurately predicts insulin resistance. By applying AI-IR to data from half a million participants in the UK Biobank, they demonstrated for the first time that insulin resistance is a significant risk factor for 12 types of cancer. This tool, which uses nine routinely collected clinical parameters, offers a more precise assessment than traditional methods like BMI, reducing false positives and negatives. The findings, published in Nature Communications, highlight the potential for AI-IR to be easily implemented in standard health checkups to identify high-risk individuals for targeted screening and early intervention for diabetes, cardiovascular disease, and cancer. The team is now exploring genetic influences and molecular biology to develop better strategies to overcome insulin resistance.