Micronuclei (MN) are hallmarks of genomic instability, and our groundbreaking research has revealed that abnormal MN-DNA fragments are not only present in cancer cells but are also widely found in blood cells, closely linked to tumor progression. We have identified these cancer-associated fragments and named them tumor-associated MN-DNA (taMN-DNA). By detecting taMN-DNA in a small sample of peripheral blood cells and applying advanced deep learning models, we can achieve highly accurate early detection of multiple cancers. This innovation represents a fundamental shift in cancer early detection, offering a powerful new approach through micronuclei DNA analysis.