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Diagnostics (Basel, Switzerland)|January 28, 2026
Translating Molecular Subtypes into Cost-Effective Radiogenomic Biomarkers for Prognosis of Colorectal CancerBaowen Gai, Xin Duan, Chenghang Li, et al.ACS Nano|December 15, 2022
Atomic Mechanisms of Cation Adsorption/Exchange in Octahedral Molecular SievesChenghang Li, Yifei Yuan, Penghui Li, et al.Nature Communications|July 16, 2025
Personalized risk stratification in colorectal cancer via PIANOS systemDu Cai, Haoning Qi, Qiuxia Yang, et al.Infection and Drug Resistance|May 8, 2025
Comprehensive Analysis of Pathogen Diversity and Diagnostic Biomarkers in Patients with Suspected Pulmonary Tuberculosis Through Metagenomic Next-Generation SequencingYuecui Li, Chenghang Li, Yu Fang, et al.Cancer Science|December 28, 2025
Decoding Senescence-Driven Heterogeneity in Early-Onset Colorectal Cancer for Prognostic and Therapeutic StratificationDu Cai, Mingru Mai, Rende Huang, et al.Advanced Materials (Deerfield Beach, Fla.)|August 28, 2023
Surface Adsorption and Proton Chemistry of Ultra-Stabilized Aqueous Zinc-Manganese Dioxide BatteriesQiang Chen, Xuan Lou, Yifei Yuan, et al.Frontiers in Cellular and Infection Microbiology|October 3, 2025
Optimization of decision thresholds for Mycobacterium tuberculosis can effectively improve the performance of mNGS in tuberculosis diagnosisYuecui Li, Lili Zhang, Guannan Ma, et al.International Journal of Surgery (London, England)|June 4, 2024
Deciphering tertiary lymphoid structure heterogeneity reveals prognostic signature and therapeutic potentials for colorectal cancer: a multicenter retrospective cohort studyJia-Xin Lei, Runxian Wang, Chuling Hu, et al.Journal of Translational Medicine|December 9, 2022
CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective studyMin-Er Zhong, Xin Duan, Ma-Yi-di-Li Ni-Jia-Ti, et al.Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 12, 2025
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised LearningJing Yang, Du Cai, Junwei Liu, et al.Pageof 4