Author

H. Bao

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Open access Sep 2026

A cfDNA fragmentomics-based machine learning model for predicting treatment response and recurrence in locally advanced rectal cancer after neoadjuvant chemoradiotherapy

Neoadjuvant chemoradiotherapy (nCRT) is standard treatment for locally advanced rectal cancer (LARC), but responses vary substantially. We developed Fragmentia-AI Response, a machine learning model that uses cell-free DNA (cfDNA) fragment features to predict pathological response and recurrence risk without relying on...

Kun Miao, Song Wang, Guo-Feng Sun et al. · The journal of liquid biopsy · 0 citations

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