Author

Heng-Di Zhang

2 papers indexed here

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Open access Oct 2026

An interpretable machine-learning model to predict moderate-to-severe acute radiation esophagitis following regional nodal irradiation for breast cancer

Acute radiation esophagitis (ARE) is a clinically relevant toxicity occurring in patients with breast cancer receiving post-operative regional nodal irradiation. The present study aimed to develop and evaluate an interpretable machine-learning (ML) model for grade ≥2 ARE. A total of 324 patients were allocated by outco...

Bing-Bo He, Zhong-Chun Qi, Heng-Di Zhang et al. · Oncology Letters · 0 citations

Review Open access Sep 2026

BMAL1 in cardiovascular diseases: Molecular mechanisms, circadian regulation and translational perspectives (Review)

Current evidence does not support viewing BMAL1 as simply protective or harmful, and small-molecule clock modulators, chronotherapy and non-pharmacological interventions, as well as time-resolved multi-omics and machine-learning approaches are assessed.

Yu Liang, Ting-Jin Chen, Xue-Mei Wen et al. · Molecular Medicine Reports · 0 citations