Results 111 to 120 of about 849 (155)

冠心病细胞焦亡基因的生物信息学筛选及临床验证

Zhongguo shiyan zhenduanxue
目的通过整合生物信息学分析与临床验证，筛选冠状动脉粥样硬化性心脏病（CHD）细胞焦亡关键基因，并评估其作为生物标志物的诊断价值。方法基于GEO数据库GSE113079数据集筛选差异表达基因，结合LASSO回归与随机森林算法确定关键基因。纳入2023年5月至2024年8月在广东省人民医院就诊的CHD患者630例及健康体检对照246例，采用实时定量PCR检测外周血样本目标基因表达水平，分析其与临床分型、血管病变支数及Gensini评分的相关性。结果筛选出5个关键基因（PRKACA、CHMP6、GZMB ...
杨玉静, 吴振敏, 李晖, 赵越, 钟笑凌, 王子霞, 张鑫强, 邓倩昀   +7 more
doaj  

[Machine learning-based prediction model for caries in the first molars of 9-year-old children in Suzhou]. [PDF]

Hua Xi Kou Qiang Yi Xue Za Zhi
Chen L, Wang X, Zhu K, Ren K, Wu Z.
europepmc   +1 more source

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Cui Y, Feng M, Yao L, Yan J, Li W, Huang Y.   +5 more
europepmc   +1 more source

红壤丘陵区植被恢复对土壤分离能力的影响及机制

Shuitu Baochi Xuebao
目的植被恢复通过改变土壤特性和根系特征，显著影响土壤分离能力（SDC），为明确红壤丘陵区植被恢复对SDC的影响机制。方法以南方红壤区常见的4种植被恢复措施为研究对象，通过SDC冲刷试验，系统评估各措施对SDC的影响，并探讨土壤性质和根系特征对SDC的调控作用。结果1）植被恢复措施均提高土壤有机质、全氮和全钾等养分含量，降低土壤体积质量、崩解系数和SDC。2）SDC与土壤含水量、有机质、全氮、全磷、速效磷、速效钾、pH及根重密度呈现显著相关，其中SDC与pH呈显著正相关（p<0.05）。3 ...
吴洁玲, 周琴, 林强, 周诗祺, 习杰, 黄少燕, 查轩   +6 more
doaj  

[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
He S, Li X, Xie Y, Hou J, Han B, Nie S.
europepmc   +1 more source

[Research advances on the application of artificial intelligence technology in the diagnosis and treatment of sepsis patients]. [PDF]

Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi
Zhang YW, Bai YL, Zhang XM, Wen Y, Yang ZY, Lu MY, Xu XL, Liu QQ.   +7 more
europepmc   +1 more source

[Research progress and future prospects for artificial intelligence in the diagnosis and treatment of fatty liver disease]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Lin YY, Liu F, Rao HY.
europepmc   +1 more source

[Detection of neurofibroma combining radiomics and ensemble learning]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Liu Y, Wencheng D, Wang Y, Wang Y, Yan Y, Gan K, Pan T.   +6 more
europepmc   +1 more source

[Early Alzheimer's disease recognition via multimodal hand movement quality assessment]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Yang G, Zhu C, Wu J, Luo K, Chen X, Lin J.   +5 more
europepmc   +1 more source

[Recent advances in artificial intelligence for auxiliary diagnosis and management of neonatal necrotizing enterocolitis]. [PDF]

Zhongguo Dang Dai Er Ke Za Zhi
Jiang Q, Zhang L.
europepmc   +1 more source