Showing results (1351-1360 of 1,698) with videos related to

Sort By:
Pageof 170
British Journal of Pharmacology|December 7, 2020
Potential type 2 diabetes mellitus drug HMPA promotes short-chain fatty acid production by improving carbon catabolite repression effect of gut microbiotaHuijuan Liu, Yuan Qin, Kun Li, et al.
Bioorganic Chemistry|June 28, 2022
Cadinane-type sesquiterpenoid dimeric diastereomers hibisceusones A-C from infected stems of Hibiscus tiliaceus with cytotoxic activity against triple-negative breast cancer cellsDe-Li Chen, Guo-Xu Ma, Er-Lan Yang, et al.
Computer Methods and Programs in Biomedicine|December 11, 2022
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural NetworksQuan Guo, Chengdi Wang, Jixiang Guo, et al.
Chinese Journal of Natural Medicines|January 26, 2024
Potassium dehydroandrographolide succinate regulates the MyD88/CDH13 signaling pathway to enhance vascular injury-induced pathological vascular remodelingQiru Guo, Jiali Li, Zheng Wang, et al.
Theranostics|October 12, 2020
Circular RNA circPPM1F modulates M1 macrophage activation and pancreatic islet inflammation in type 1 diabetes mellitusCaiyan Zhang, Xiao Han, Lan Yang, et al.
BMC Cancer|December 18, 2015
Epigenetic regulation of CDH1 exon 8 alternative splicing in gastric cancerXiao-Wei Li, Bing-Yu Shi, Qing-Lan Yang, et al.
Investigative Ophthalmology & Visual Science|June 11, 2016
Assessment of DNA Damage and Cell Senescence in Corneal Epithelial Cells Exposed to Airborne Particulate Matter (PM2.5) Collected in Guangzhou, ChinaZi-Xun Gao, Xi-Ling Song, Shan-Shan Li, et al.
Technology in Cancer Research & Treatment|February 6, 2023
Expressions and Prognostic Values of Notch3 and DLL4 in Human Breast CancerLin Wang, Ge Cao, Wei Li, et al.
Free Radical Biology & Medicine|February 14, 2026
8-Oxoguanine modifications in seed regions of miRNAs regulating P16 promote aging by reshaping gene regulatory networksJia-Qi Guo, Qing-Yu Wang, Ying-Min Zhang, et al.
Journal of Hazardous Materials|March 30, 2025
Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newbornsLuhan Yang, Yuxian Liu, Henglin Zhang, et al.
Pageof 170