Results 221 to 230 of about 806,809 (299)

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease‐Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan‐Cytology Validation

Advanced Science, EarlyView.
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong, Fan Jiang, Ye Xie, Xiaowei Huang, Runnan Shen, Yun Wang, Mengyi Zhu, Haoxuan Wang, Hongkun Yang, Yanxiao Nie, Zhen Lin, Rui Chen, Nengtai Ouyang, Tianxin Lin, Shaoxu Wu   +14 more
wiley   +1 more source

Plexiform Fibrohistiocytic Tumor: An Updated Review. [PDF]

In Vivo
Nishio J, Koga K, Aoki M.
europepmc   +1 more source

Exophytic Papillary Thyroid Carcinoma With Anaplastic Transformation in a Cervical Lymph Node: A Case Report and Review of the Literature. [PDF]

Cureus
Garcia Avilán I, Garcia OR, Delgado J, Lopez Alanis B, Ortiz Villeda F.   +4 more
europepmc   +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 rare right perirenal hemangioma mimicking a retroperitoneal "malignant lesion": Diagnostic and procedural challenges of an extra-renal vascular mass. [PDF]

Radiol Case Rep
Xu A, Abdulrahim A, Salloum E, Shwaiki O, Tong WL.   +4 more
europepmc   +1 more source

Toward Personalized Theranostics: A Modular PET Platform for Antibody‐Based Imaging and Therapy

Advanced Science, EarlyView.
This modular, site‐specific antibody platform enables customizable conjugates for PET imaging and therapy. Interchangeable payloads – including radiometals, cytotoxics, and fluorophores – support adaptable, multimodal applications with limited off‐target effects. In vivo, the DFO/DOTAGA bischelate immunoconjugate provided clear tumor delineation in PET/
Delphine Vivier, Megane Grah Kple, Julen Ariztia, Marion Leroux, Mathieu Moreau, Michael Claron, Maxime Cheveau, Adam Laouafa, Agnieszka Kownacka, Camille Petitot, John Simonet, Alexandre M. M. Dias, Sophie Poty, Charles Truillet, Bertrand Collin, Alexandra Oudot, Franck Denat   +16 more
wiley   +1 more source

Periocular Sebaceous Carcinoma: A Rare Entity in Mexico. [PDF]

Cureus
Sol BS, Ortega Valls TJ, Solorio Rivera AH, Ayuzo Del Valle B, Ibarra Tostado DM, Tarango-Martinez VM.   +5 more
europepmc   +1 more source

Transcription Factor HOXC11 Drives Colorectal Cancer Progression and Metastasis via CAMK2A‐Dependent CXCL5 Upregulation

Advanced Science, EarlyView.
HOXC11 drives colorectal cancer progression by transcriptionally activating CAMK2A, which triggers NF‐κB–dependent CXCL5 upregulation. CXCL5–CXCR2 signaling further reinforces HOXC11 expression through the ERK1/2–SP1 axis, forming a prometastatic positive feedback loop that is effectively disrupted by combined CAMK2A and CXCR2 inhibition.
Qingyang Sun, Hengjie Xu, Sheng Yang, Jiahui Zhou, Chuanxin Tian, Hongxu Nie, Chi Jin, Tuo Wang, Zhihao Chen, Junwei Tang, Yifei Feng, Xiaowei Wang, Yueming Sun   +12 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source