Author

N. Le

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Open access Sep 2026

Toward Clinically Trustworthy Pathology Foundation Models for Microsatellite Instability Prescreening in Colorectal Cancer

Pathology foundation models have recently emerged as powerful pretrained representations for computational pathology, yet whether complex downstream modeling is still necessary once frozen representations are evaluated under a common downstream framework remains insufficiently understood. We address this question for m...

Nadine Huyen Nguyen, Kim Ngan Ly, N. Le · Computers · 0 citations

Review Oct 2026

Cell-free DNA fragmentomics: from chromatin biology to clinical stratification.

Plasma cell-free DNA (cfDNA) is fragmented nonrandomly, reflecting the chromatin architecture of its source cells and the nucleases that process it. The fragmentome can therefore provide an indirect readout of cellular regulatory state. This review examines how DNA methylation, chromatin accessibility, nucleosome posit...

Tien-Dung Bui, M. Phùng, Teh-Ying Chou et al. · Epigenomics · 0 citations

Open access Jul 2026

Robust Prediction of Drug Interactions using Chemical Descriptors.

T-DDI pairs confidence-stratified predictions with LIME-based feature-level explanations and a web application for screening, supporting more reliable drug safety monitoring, and outperforming all evaluated baselines within the architectures and datasets considered here.

Q. Kha, Duc-Quang-Anh Nguyen, Phi Pham Van Hoang et al. · npj Digital Medicine · 0 citations

Open access Jul 2026

3DICE: interpretable 3D cross-modal learning for drug–target interaction prediction and large-scale drug discovery

3DICE is proposed, a novel framework leveraging co-attention-based fusion and massively pre-trained 3D structural encoders for both drugs and proteins that provides intrinsic interpretability, highlighting and enabling qualitative analysis of most influential atoms or residues.

A. Liu, N. Le, M. C. H. Chua · Bioinformatics · 1 citation

#small language model Open access Aug 2026

GRASSP: RNA language model–enhanced graph attention with adaptive gating for RNA–small molecule binding site prediction

GRASSP provides a competitive framework for integrating pretrained RNA representations with spatial structural context while reducing reliance on additional handcrafted structural annotations, and is demonstrated to outperform state-of-the-art baselines.

Thi Lan Nguyen, N. Le · Bioinformatics · 0 citations