Results 221 to 230 of about 4,044,436 (277)

Integrated tumor identification and automated scoring minimizes pathologist involvement and provides new insights to key biomarkers in breast cancer

Laboratory Investigation, 2018
P. Bankhead, José A Fernández, D. McArt, D. Boyle, Gerald Li, M. Loughrey, M. Loughrey, G. Irwin, D. Harkin, J. James, J. James, S. McQuaid, S. McQuaid, M. Salto‐Tellez, M. Salto‐Tellez, P. Hamilton   +15 more
semanticscholar   +1 more source

Cinnamic‐Hydroxamic‐Acid Derivatives Exhibit Antibiotic, Anti‐Biofilm, and Supercoiling Relaxation Properties by Targeting Bacterial Nucleoid‐Associated Protein HU

Advanced Science, EarlyView.
Cinnamic‐hydroxamic‐acid derivatives (CHADs) are identified as novel inhibitors of the bacterial nucleoid‐associated protein HU, exhibiting potent antibacterial, anti‐biofilm (both inhibition and eradication), and DNA relaxation (anti‐supercoiling) activities. Moreover, CHADs demonstrate strong synergistic effects with multiple antibiotics.
Huan Chen, Yingqi Xu, Zhaoping Xiong, Hongliang Wang, Xin Wang, Yue Kang, Zhonglin Wang, Xiaoyan Zeng, Yahui Liu, Yehuan Zheng, Wei Chen, Mengzhe Li, Zhenyue Hu, Chi Xu, Yue Wu, Yawen Wang, Zuyi Yuan, Shuai Yuan, Huadong Liu, Steve Matthews, Nan Qiao, Yan Li, Bing Liu   +22 more
wiley   +1 more source

The Effectiveness of Automated Essay Scoring in an EFL College Classroom

, 2014
Ji Eun Kim
openalex   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

Advanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang, Rucong Liu, Zibaguli Wubulikasimu, Wanqing Zhao, Jiaqi Huang, Jiaxuan Wang, Tianyuan Zhang, Rui Fan, Wei Kong, Qinghua Cui, Yang Li, Yuan Zhou   +11 more
wiley   +1 more source

Home sleep apnea testing: comparison of manual and automated scoring across international sleep centers. [PDF]

Sleep Breath, 2019
Magalang UJ, Johns JN, Wood KA, Mindel JW, Lim DC, Bittencourt LR, Chen NH, Cistulli PA, Gíslason T, Arnardottir ES, Penzel T, Tufik S, Pack AI.   +12 more
europepmc   +1 more source

Single‐Nucleus Multi‐Omics Reveals Hypoxia‐Driven Angiogenic Programs and Their Epigenetic Control in Sinonasal Squamous Cell Carcinoma

Advanced Science, EarlyView.
Single‐nucleus multi‐omics profiling of sinonasal squamous cell carcinoma unveils a hypoxia‐driven angiogenic axis. A specific hypoxic tumor subpopulation orchestrates endothelial tip cell differentiation via epigenetically regulated ADM and VEGFA secretion.
Chaelin You, Jaewoo Park, Jung Yeon Jang, Junho Noh, Jaehyun Lee, Geunho Kwon, Myeong Sang Yu, Yoo‐Sam Chung, Seung‐Jun Lee, Keunsoo Kang, Jihwan Park, Ji Heui Kim, Kyuho Kang   +12 more
wiley   +1 more source

Misclassification of OSA severity with automated scoring of home sleep recordings. [PDF]

Chest, 2015
Aurora RN, Swartz R, Punjabi NM.
europepmc   +1 more source

Microenvironment Self‐Adaptive Nanoarmor to Address Adhesion‐ and Colonization‐Related Obstacles in Impaired Intestine Promote Bacteriotherapy Against Parkinson's Disease

Advanced Science, EarlyView.
A microenvironment self‐adaptive nanoarmor is developed to effectively address the adhesion‐ and colonization‐related challenges posed by multiple physiological and pathological characteristics in the intestine. L. plantarum@MPN@CS showed significant therapeutic potential in treating Parkinson's disease (PD), a model for extraintestinal disorders, as ...
Limeng Zhu, Yuyu Wu, Yingjie Chen, Xiyi Chen, Xingjie Zan, Yanlong Liu, Wujun Geng   +6 more
wiley   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source