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Jierong Chen

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Open access Aug 2026

Integrative cfDNA profiling from low-pass whole-genome sequencing enables tissue-of-origin prediction in cancer

Cancer type classification is challenging due to tumor heterogeneity and undefined tissue of origin (TOO), particularly in cancers of unknown primary (CUP) and multiple primary cancers (MPC). Accurate TOO identification is critical for guiding treatment and prognosis. We developed a stacked ensemble machine learning cl...

Yunjian Zhang, Liang Liu, H. Bao et al. · 0 citations
Open access Aug 2026

Generalizable cancer detection from ultra-low-pass WGS via deep contextual modeling of cfDNA sequences

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. · 0 citations

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