Results 61 to 70 of about 90,682 (248)

CA9‐Targeted PET Imaging for Noninvasive Discrimination of Clear Cell Renal Cell Carcinoma and Associated Tumor Biological Features

Advanced Science, EarlyView.
CA9‐targeted PET imaging could be a noninvasive approach to characterize clear cell renal cell carcinoma and associated tumor biology. PET uptake correlates with tumor CA9 expression and is linked to angiogenic activity, immune remodeling, and metabolic reprogramming.
Kailei Chen, Sixuan Cheng, Jian Shi, Ruijie Liu, Yilong Wu, Xin Zheng, Xinlun Song, Yunxuan Zhang, Lei Liu, Zhihao Wei, Qi Wang, Xinwei Li, Zirui Dong, Yuenan Liu, Hongmei Yang, Xiaoli Lan, Chunxia Qin, Dawei Jiang, Keshan Wang, Xiaoping Zhang   +19 more
wiley   +1 more source

Discordant Prenatal Cell-Free DNA Screening vs. Diagnostic Results of Sex Chromosome Aneuploidies: Implications for Newborn Screening and Genetic Counseling

International Journal of Neonatal Screening
Sex chromosome aneuploidies (SCAs) collectively occur in 1 in 500 livebirths, and diagnoses in the neonatal period are increasing with advancements in prenatal and early genetic testing.
Susan Howell, Shanlee M. Davis, Billie Carstens, Mary Haag, Judith L. Ross, Nicole R. Tartaglia   +5 more
doaj   +1 more source

Empirical verification of self-rated positive health (somatic dimension) in women with professional competence in the field of health education

Pedagogics, Psychology, Medical-Biological Problems of Physical Training and Sports, 2019
Purpose: to address a question whether reports of young women concerning their positive health are concordant with indices based on recommended methods of measuring health?
D. Dobosz
doaj   +1 more source

A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance

Advanced Science, EarlyView.
Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng, Masaki Nasu, Ayman Abdul‐Ghani, Yu Chen, Shaoqiu Chen, Isam Mohd Ibrahim, Hanqiu Zhang, Lauren Higa, Zitong Gao, Hua Yang, Raphael Bueno, Loïc Le Marchand, Youping Deng   +12 more
wiley   +1 more source

Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study

Health Technology Assessment
Background Digital pathology refers to the conversion of histopathology slides to digital image files for examination on computer workstations as opposed to conventional microscopes.
David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn   +29 more
doaj   +1 more source

Computation and Structure‐Guided Arginine Scanning Engineers a Hyperactive AP Endonuclease for Multiplex Viral RNA Sensing

Advanced Science, EarlyView.
Computational and structure‐guided arginine scanning rewires the DNA‐binding interface of APE1 to create APE1‐Evo, a hyperactive yet specific AP endonuclease. Integrated into the NAPTUNE‐V2.0 cascade, APE1‐Evo enables amplification‐free, multiplex viral RNA sensing for dengue virus and influenza A/B, highlighting a general strategy for engineering ...
Junlan Wang, Ting Wu, Feizuo Wang, Boyang Wang, Xin Yu Wong, Senfeng Zhang, Shengsheng Ma, Yao Liu, Fangyao Yao, Zhifeng Zeng, Siyuan Yang, Kunming Liu, Qi Wang, Yilong Wang, Yunxiang Zang, Xiaolong Wang, Xingxu Huang, Shao Li, Quanquan Ji, Tao Hu, Chunyi Hu   +20 more
wiley   +1 more source

Concerted Action of Targeted Nucleic Acid Therapeutics as Flexible, Precision and Personalized Cancer Treatment

Advanced Science, EarlyView.
Combinations of small activating RNAs and small interfering RNAs were developed as personalized precision therapies that simultaneously activate tumor suppressors and silence oncogenes according to the molecular signatures of patient tumors. This combination strategy demonstrated superior anticancer efficacy, highlighting the promise of precision ...
Jing Wu, Jiaxuan Chen, Abdechakour Elkihel, Wenjun Lan, Nicolas Fraunhoffer, Dandan Zhu, Baoping Lian, Christina Galanakou, Zhancun Bian, Xi Liu, Odile Gayet, Loic Moubri, Julie Aglietti Roques, Vikash Reebye, Nagy Habib, Xiaoxuan Liu, Nelson Dusetti, Juan Lucio Iovanna, Ling Peng   +18 more
wiley   +1 more source

A Personalized Haplotype‐Resolved Near‐Gapless Genome Framework for Somatic Variant Discovery in Hepatocellular Carcinoma

Advanced Science, EarlyView.
A patient‐specific, haplotype‐resolved genome framework improves detection and interpretation of somatic variants in hepatocellular carcinoma. Using multi‐platform sequencing, the personalized assembly resolves complex regions including centromeres and MHC/HLA loci, enhances structural variant discovery, and links regulatory alterations to allele ...
Jiazheng Lin, Yao Xiao, Shuangzi Luo, Yifan Li, Wenfei Zhang, Xiaoyu Zhang, Xinyi Wang, Di Wu, Jieru Hong, Yongkun Luan, Xun Huang, Yixiu Wang, Ningbo Wu, Xiaoxiao Hu, Fei Zhao, Wei Li, Xiao Luo, Bi Shi   +17 more
wiley   +1 more source

Evolution of Discordance

Mathematical Physics, Analysis and Geometry
Abstract The present paper is a brief overview of random opinion dynamics on random graphs based on the Ising Lecture given by the author at the World Congress in Probability and Statistics, 12–16 August 2024, Bochum, Germany. The content is a snapshot of an interesting area of research that is developing rapidly.
openaire   +2 more sources

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source