2 results match your criteria: "Qiannan Prefecture People's Hospital[Affiliation]"
Deep learning to estimate response of concurrent chemoradiotherapy in non-small-cell lung carcinoma.
J Transl Med
October 2024
Department of Oncology, Qiannan Prefecture People's Hospital, Duyun, China.
Article Synopsis
- A deep learning (DL) model was developed to predict the response of non-small cell lung carcinoma (NSCLC) patients to concurrent chemoradiotherapy (CCRT) based on CT images from 229 patients across six hospitals.
- The model showed strong predictive performance with an area under the curve of 0.86 in training and 0.84 in validation cohorts, and it was associated with improved progression-free and overall survival rates.
- Additional analysis highlighted significant associations between the model scores and biological pathways, including cell adhesion molecules and P53 signaling, contributing to the understanding of treatment responses in NSCLC.
Extensive genetic admixture between Tai-Kadai-speaking people and their neighbours in the northeastern region of the Yungui Plateau inferred from genome-wide variations.
BMC Genomics
June 2023
Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Background: Yungui Plateau in Southwest China is characterized by multi-language and multi-ethnic communities and is one of the regions with the wealthiest ethnolinguistic, cultural and genetic diversity in East Asia. There are numerous Tai-Kadai (TK)-speaking populations, but their detailed evolutionary history and biological adaptations are still unclear.
Results: Here, we genotyped genome-wide SNP data of 77 unrelated TK-speaking Zhuang and Dong individuals from the Yungui Plateau and explored their detailed admixture history and adaptive features using clustering patterns, allele frequency differentiation and sharing haplotype patterns.