Researchers have used a machine learning model called AI-IR to demonstrate that insulin resistance is a risk factor for 12 types of cancer. The tool analyzes nine clinical parameters from standard health checkups to predict insulin resistance at population scale. This provides the first large-scale evidence linking insulin resistance to multiple cancers.
Protein biomarkers and self-sampling methods are transforming drug development and occupational health surveillance, enabling more efficient clinical trials, improved target selection, and minimally invasive continuous monitoring.
Researchers used a machine-learning tool to analyze 500,000 UK Biobank participants, providing the first population-scale evidence that insulin resistance is a risk factor for 12 types of cancer.
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