Zi Wang - research works

The obese-asthma group had lower SMM/WT than the simple-obesity group (30.17% vs 31.51%, P<0.001); VFA did not differ significantly (P=0.051).

Among children with obese-asthma, the poorly controlled group showed lower SMM/WT (P=0.002) and higher VFA (P=0.011).

The area under the curve (AUC) was 0.807 (95% CI 0.709-0.905; sensitivity 76.9%, specificity 75.8%; mean absolute error 0.027).

A risk prediction model (nomogram) constructed by incorporating the above variables effectively predicted CPSP in these patients, with an area under the curve (AUC) of 0.854 (95% confidence intervals [CI]: 0.774-0.934, P < 0.01).

A total of 20 completed datasets, each for both the BCS and MRM cases, were successfully retrieved and analyzed.

The large volumes achieved the highest overlap ( CTVp_breast and CTVp_thoracic wall DSC mean: 0.80 ± 0.07 and 0.63 ± 0.08, respectively), though mean 95% Hausdorff distances (HD 95 ) were elevated at 42.84 ± 50.62 mm and 45.73 ± 60.44 mm.

Post-BCS focal volumes ( CTV_tb and CTV_boost ) showed intermediate overlap (both DSC mean: 0.56) but restricted boundary deviations (mean HD 95 : 11.51 mm and 19.94 mm).

Based on 30,368 IVCM images and 4155 paired clinical reports, the model was trained with contrastive alignment, image-conditioned language modeling, and multi-image consistency loss to produce structured diagnostic reports while a domain-adapted LLM supported patient-centered QA.

Automated evaluation showed strong agreement with the reference reports: Bilingual Evaluation Understudy (BLEU)-1 to BLEU-4 scores were 0.69, 0.58, 0.47, and 0.41, Recall-Oriented Understudy for Gisting Evaluation (ROUGE-L) was 0.67, Consensus-based Image Description Evaluation (CIDEr) was 1.85, and Metric for Evaluation of Translation with Explicit Ordering (METEOR) was 0.66.

Overall concentrations of five heavy metals (Cu, Pb, Ni, Cd, and Ba) were positively associated with RA risk, primarily driven by exposures to Cu, Ni, and Cd.

Conversely, overall concentrations of seven essential metals (Sn, Se, Mn, Cr, Zn, Sr, and Mo) were inversely associated with RA risk, with Se, Sn, Mn, Sr, and Cr emerging as the main protective factors.

A U-shaped relationship emerged between the overall concentrations of these 12 metals and RA risk.

YF had higher complication rates (iridemia, cystoid macular edema, haptic exposure; P=0.039).

IOL tilt/decentration increased comparably in both groups.

To address this challenge, a histopathomics-based survival prediction system (HPSurv) was developed using histopathological whole-slide images (WSIs) for individualized overall survival (OS) prediction.

Within this framework, pathological tissue classification, quantitative characterization of tumor spatial heterogeneity, and a survival Transformer were integrated to enable multi-level representation learning from histopathological data.

The system was developed and evaluated in 1020 patients across five independent cohorts.

A more refined classification of these diseases is essential for enabling targeted therapeutic strategies.

Compared with healthy controls, Ps, RA and UC patients exhibited reduced clonotype richness and diminished TCR/BCR diversity, indicating adaptive immune contraction.

Stratification by Dampness ZHENG revealed distinct immune repertoire architectures characterized by increased D50 index, reduced proportions of large clones and preferential V gene usage, including TRAV20, TRAV38-2DV8 and TRAV8-3.