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Projection of Premature Cancer Mortality in Hunan, China, Through 2030: Modeling Study

Projection of Premature Cancer Mortality in Hunan, China, Through 2030: Modeling Study

Specifically, we projected whether SDG target 3.4 can be met for cancer prevention in Hunan Province and how many deaths from cancers can be prevented if all selected risk factors were controlled. The risk factors were selected based on the Global Monitoring Framework [14] while adding dietary and environmental factors.

Wenqiong Wu, Jing Wang, Xian-zhen Liao, Kekui Xu, Yanhua Zou, Zhaohui Shi, Yingyun Hu, Haifan Xiao, Can Li, Shiyu Cao, Shiyu Wang, Jia Guo, Zhicheng Luo, Mengjiao Liu, Mengyao Xu, Donghui Jin, Mengshi Chen, Zhongxi Fu, Shipeng Yan

JMIR Public Health Surveill 2023;9:e43967

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Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine

Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine

Such methods can only be accurate to a certain extent when it comes to deducing extensive gene regulatory structures from data sets with a large set of observations. Correlational studies can only indicate gene-gene association and not the direction of regulation. A gene regulatory network is an example of a causal structure that can be used to develop interventions to control gene expression.

Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim

JMIR Med Inform 2023;11:e38266

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Article has an altmetric score of 3