ABSTRACT Patients with advanced endometrial cancer (EC) have a poor prognosis and limited therapeutic options after failure of prior systemic therapy. In this multi‐cohort Phase II study (ETER200), patients with metastatic or recurrent EC who had received at least one chemotherapy regimen were enrolled. Based on MSI/MM...
Shan-Hui Liang, Xiao-Jun Chen, Ke Wang et al.· MedComm· 0 citations
This stacked ensemble machine learning classifier that integrates 11 multidimensional cfDNA features spanning genomic, fragmentomic, methylation/repeat, and microbial signals provides a robust and non-invasive approach for accurate cancer type identification and has the potential to support clinical decision-making.
Yunjian Zhang, Liang Liu, H. Bao et al.· Molecular Biomedicine· 0 citations
Fragmentia-AI™ WGS, a mutation-calling-independent framework that uses a transformer-based multiple-instance learning architecture with sequential fine-tuning across tumor fraction (TF) strata to extract latent cancer-associated signals from ULP-WGS data, enables robust cancer detection and clinically meaningful risk s...
Yang Xu, Song Wang, Guo-Feng Sun et al.· Molecular Biomedicine· 0 citations
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