Results 211 to 220 of about 2,021,769 (367)

Off label prescribing to children in primary care in Germany: retrospective cohort study [PDF]

, 2002
Reinhild Bücheler
openalex   +1 more source

Non‐Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi‐Center Cohort Study

Advanced Science, EarlyView.
This study introduces a deep learning model that predicts tumor budding (TB) status in bladder cancer through the analysis of CT images. The model effectively identifies patients with high TB status, correlating with poorer prognosis and reduced responsiveness to neoadjuvant chemoimmunotherapy. This tool offers significant potential to inform prognosis
Xiaoyang Li, Chen Zou, Chunhui Wang, Cheng Chang, Yi Lin, Shuai Liang, Haoran Zheng, Libo Liu, Kai Deng, Lin Zhang, Bohao Liu, Mingchao Gao, Peicong Cai, Jianwen Lao, Longhao Xu, Daqin Wu, Xiao Zhao, Xiao Wu, Xinyuan Li, Yun Luo, Wenlong Zhong, Tianxin Lin   +21 more
wiley   +1 more source

Nuclear‐Localized BCKDK Facilitates Homologous Recombination Repair to Support Breast Cancer Progression and Therapy Resistance

Advanced Science, EarlyView.
Under DNA damage, tumor cells rely on efficient DNA repair for survival and therapy resistance. This study has demonstrated that BCKDK localizes to breast cancer cell nuclei, where it binds to and phosphorylates RNF8, thereby blocking ubiquitin‐mediated degradation of RAD51 and enhancing HRR. A selective BCKDK inhibitor synergizes with clinical agents,
Haiying Liu, Jiaqian Feng, Tingting Pan, Pinggen Zhang, Ling Ye, Zetan Jiang, Zilong Zhou, Qiankun Mao, Jian Li, Xinyi Yang, Ping Gao, De Huang, Huafeng Zhang   +12 more
wiley   +1 more source

Bayesian estimation for conditional probabilities associated to directed acyclic graphs: study of hospitalization of severe influenza cases [PDF]

arXiv
This paper presents a Bayesian inferential framework for estimating joint, conditional, and marginal probabilities in directed acyclic graphs (DAGs) applied to the study of the progression of hospitalized patients with severe influenza. Using data from the PIDIRAC retrospective cohort study in Catalonia, we model patient pathways from admission through
arxiv  

Rapid and Noninvasive Early Detection of Lung Cancer by Integration of Machine Learning and Salivary Metabolic Fingerprints Using MS LOC Platform: A Large‐Scale Multicenter Study

Advanced Science, EarlyView.
Salivary metabolic signatures associated with lung cancer are systematically characterized through a self‐developed high‐throughput mass spectrometry Lab‐on‐a‐Chip platform. Utilizing these metabolic fingerprints, SalivaMLD, an integrated machine‐learning‐driven classification model is developed and demonstrates superior performance in detecting lung ...
Shuang Lin, Runlan Yan, Junqi Zhu, Bei Li, Yinyan Zhong, Shuang Han, Huiting Wang, Jianmin Wu, Zhao Chen, Yuyue Jiang, Aiwu Pan, Xuqing Huang, Xiaoming Chen, Pingya Zhu, Sheng Cao, Wenhua Liang, Peng Ye, Yue Gao   +17 more
wiley   +1 more source

Single‐Cell Sequencing‐Guided Annotation of Rare Tumor Cells for Deep Learning‐Based Cytopathologic Diagnosis of Early Lung Cancer

Advanced Science, EarlyView.
This study presents an innovative method to generate high‐quality, objectively annotated cytology datasets without relying on expert involvement. Large‐scale single‐cell DNA sequencing is used as an objective ground truth of cell annotation for generating an accurate, unbiased dataset of exfoliated tumor cells from bronchoalveolar lavage cytology ...
Yichun Zhao, Ruoran Qiu, Zhuo Wang, Yunyun Li, Xu Yang, Yanlin Li, Xiaohan Shen, Yun Liu, Ziqiang Chen, Qihan You, Qihui Shi   +10 more
wiley   +1 more source

Medical students' compliance with simple administrative tasks and success in final examinations: retrospective cohort study [PDF]

, 2002
Neil Wright
openalex   +1 more source

Dual‐Energy CT‐Based Assessment of Thrombotic Heterogeneity for Predicting Stroke Source and Response to Machine Thrombectomy: A Step Toward Visualization Thrombus Treatment

Advanced Science, EarlyView.
The research indicates that dual energy CT scanning can accurately predict the stroke source and clinical outcomes by analyzing thrombus heterogeneity. Based on histopathological analysis of thrombus components, these scans are better able to display thrombus details than standard CT scans, which is helpful for the development of visual navigation ...
Jingxuan Jiang, Sijia Wang, Fan Xiao, Hongmei Gu, Mingkang Wang, Hao Tian, Baohui Guan, Kai Sheng, Yijia Xiong, Huilin Zhao, Minda Li, Li Xu, Zheng Sun, Haiyan Du, Wenxian Du, Yuehua Li   +15 more
wiley   +1 more source

The risk of immune-mediated inflammatory diseases following exposure to childhood maltreatment: A retrospective cohort study using UK primary care data

Heliyon
Background: As a global public health issue, childhood maltreatment is associated with significant morbidity and mortality. We aimed to investigate the association between childhood maltreatment and immune-mediated inflammatory disorders (IMIDs). Methods:
Liam Snook, Sonica Minhas, Vrinda Nadda, Ben Hammond, Krishna M. Gokhale, Julie Taylor, Caroline Bradbury-Jones, Siddhartha Bandyopadhyay, Krishnarajah Nirantharakumar, Nicola J. Adderley, Joht Singh Chandan   +10 more
doaj  

On “A Retrospective Cohort Study of Male Workers Exposed to PVA Fibers”

, 2000
Joris H. van Cleemput, Kenji Morinaga
openalex   +2 more sources