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Sep 2026

FedEC-Dia: Explanation-Calibrated Federated Learning for Patient-Level Diabetes Digital Twin Risk Prediction Under Non-IID Healthcare Data.

Patient-level digital twins for diabetes oriented smart healthcare require risk models that can learn from distributed clinical data while remaining reliable across heterogeneous environments. Federated learning enables collaborative training without centralizing raw patient records, but non-independent and identically...

Yao Tong, Kong-Fa Hu, Zuo-Jian Zhou et al. · 0 citations
Aug 2026

Scaffold-aware benchmarking of GCN and GIN for DFT-derived molecular Gibbs energy in traditional Chinese medicine molecules.

Absolute gas-phase molecular Gibbs energy G is an extensive quantum-chemical quantity that can be dominated by elemental composition, yet graph-model benchmarks often omit a composition control. This study established a composition-controlled, scaffold-aware benchmark for 2089 traditional Chinese medicine molecular rec...

Hong-Tao Chen, Lili Qian, Yu-Chen Ji et al. · 0 citations

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