Author

Song Wang

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Open access Aug 2026

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

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

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. · Molecular Biomedicine · 0 citations