Results 181 to 190 of about 51,273 (262)

Head and Neck Metastases From Infraclavicular Primary Tumors: Analysis of 136 Cases

The Laryngoscope, EarlyView.
ABSTRACT Objective Distant metastases in the head and neck region are rare, often posing challenges for ENT specialists and being of crucial importance in the management of infraclavicular primary tumors. Methods The case series presented here aims to outline the relevant aetiologies and clinical presentation in the head and neck region.
Achim M. Franzen, André Buchali, Carolin Quadt, Annekatrin Coordes   +3 more
wiley   +1 more source

Development and validation of a nomogram for predicting postoperative hypocalcemia in patients undergoing surgery for differentiated thyroid cancer. [PDF]

Front Endocrinol (Lausanne)
Zhou L, Tu Y, Qin S, Zhang Q, Ba H, Wang P.   +5 more
europepmc   +1 more source

Elevated serum aminotransferases in an infant with failure to thrive: A clinicopathological case report

JPGN Reports, EarlyView.
Jamie M. Klapp, Lauren Nichols, Nicholas J. Gloude, Amber Hildreth, Kathleen B. Schwarz   +4 more
wiley   +1 more source

Mass spectrometry imaging of N‐linked glycans: Fundamentals and recent advances

Mass Spectrometry Reviews, EarlyView.
Abstract With implications in several medical conditions, N‐linked glycosylation is one of the most important posttranslation modifications present in all living organisms. Due to their nontemplate synthesis, glycan structures are extraordinarily complex and require multiple analytical techniques for complete structural elucidation.
Tana V. Palomino, David C. Muddiman
wiley   +1 more source

Distant Metastases and Outcome of Pediatric Differentiated Thyroid Cancer. [PDF]

J Endocr Soc
Alzahrani AS, Alskait G, Aljufan Y, Alghaihb S, Alkhalifah A, AlAyoubi L, Abualnaja A, Alobaid L, Albasri E.   +8 more
europepmc   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

Mass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik, Petr Lapcik, Pavla Bouchalova, Pavel Bouchal   +3 more
wiley   +1 more source

Comparative evaluation of dynamic risk stratification according to ATA 2015 and ATA 2025 in low-risk differentiated thyroid cancer without radioiodine ablation. [PDF]

Endocrine
Fernández Velasco P, Peciña Melgosa P, Torres Torres B, Torres Morientes LM, Fernández Rodríguez A, Alonso Mesonero M, de Uribe Viloria M, Álvarez Quiñones M, Santos Pérez J, de Luis Román D, Diaz-Soto G.   +10 more
europepmc   +1 more source

Whole‐Genome Bisulfite Sequencing Identifies Blood‐Based DNA Methylation Biomarker for Hepatocellular Carcinoma

Molecular Carcinogenesis, EarlyView.
ABSTRACT Functional DNA methylation abnormalities are a hallmark of human cancers and may be a promising biomarker for their early diagnosis. Moreover, the largest methylation differences can improve the sensitivity of noninvasive diagnoses of solid tumors.
Junsheng Zhao, Sijia Shen, Junjie Zhang, Ying Xu, Jing Peng, Hainv Gao, Lanjuan Li   +6 more
wiley   +1 more source

RhTSH in aiding dynamic assessment in patients with differentiated thyroid Cancer. [PDF]

Eur J Nucl Med Mol Imaging
Lin Y, Wen Q, Fu W, Yang H, Gao Y, Li Z, Huang J, Gao Z, Wu J, Lv Z, Lu K, Chen Y, Yang A, OuYang W, Zhang S, Zhou H, Deng Z, Chen Z, Ding Y, Yuan C, Li L, Lin C, Sang S, Cheng Z, Cheng Y.   +24 more
europepmc   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source