Al-driven analysis establishes the single base substitution signatures as personalized prognostic predictors for five-year survival of gastric cancer
作者机构：School of Biomedical EngineeringThe Sixth Affiliated HospitalGuangzhou Medical UniversityGuangzhouGuangdong 511436China College of Mathematics and Systems ScienceGuangdong Polytechnic Normal UniversityGuangzhouGuangdong 510665China The Second Affiliated HospitalGuangzhou Medical UniversityGuangzhouGuangdong 510260China Center for Learning Sciences and TechnologiesThe Chinese University of Hong KongShatinNew Territories 999077China Affiliated Stomatology Hospital of Guangzhou Medical UniversityGuangzhou Medical UniversityGuangzhouGuangdong 510182China International School of PhotonicsCochin University of Science and TechnologyKochiKerala 682022India
出 版 物：《Genes & Diseases》 (基因与疾病（英文）)
年 卷 期：2024年第11卷第4期
页 面：73-76页
核心收录：
学科分类：0710[理学-生物学] 1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：supported by the Science and Technology Planning Project of Guangzhou,Guangdong,China(No.006259497026) the Young Creative Talents of Department Education of Guangdong,China(Natural Science,No.2019KQNCX067) the National Natural Science Foundation of China(No.52172083) International Science&Technology CooperationProgramnofGuangdong,China(No.2021A0505030078) Guangzhou Key Research and Development Program(China)(No.2023B03J1239) Program for Innovative Research Team inUniversityof Education Systemof Guangzhou,China(No.202235404)
摘 要：Al-driven genetic engineering,as a burgeoning diagnostic tool,can offer predictive information on the five-year survival rate(FYSR)in the setup of a prognostic therapeutic *** approach provides the individuality and accuracy of prognosis for FYSR of gastric cancer(GC).Unlike traditional neoplasm staging criteria,our technique ensures accuracy and individuality without relying on statistical data and empirical study.
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