Results 81 to 90 of about 98,704 (296)
Epstein–Barr virus (EBV) was the first virus shown to cause cancer in humans and is associated with a wide range of human cancers originating from epithelial cells, lymphocytes and mesenchymal cells. EBV-associated neoplasms affect both immune-competent hosts and immune-compromized patients who have received an organ transplant or who exhibit ...
openaire +2 more sources
Predicting Different Recurrence Risk in HNSCC Using Circulating Inflammatory and T‐Cell Biomarkers
ABSTRACT Objective Head and neck squamous cell carcinoma (HNSCC) lacks reliable prognostic circulating biomarkers, and the role of the immune system in its progression remains incompletely understood. This study aimed to evaluate the prognostic value of systemic inflammatory and immune biomarkers in surgically treated patients with primary oral cavity (
Riccardo Gili +10 more
wiley +1 more source
Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research
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 +3 more
wiley +1 more source
ABSTRACT Gastric cancer (GC) is the fifth most common type worldwide, representing a public health problem. Among the genes related to this tumorigenesis, the family of matrix metalloproteinases (MMPs), essential regulators of the extracellular matrix (ECM), stand out for their involvement in the development and progression of GC.
Aline Costa Bastos +11 more
wiley +1 more source
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley +1 more source
Weaving for action: Transformative change in biodiversity monitoring
Abstract The Post‐2020 Kunming‐Montreal Biodiversity Framework aims to drive transformative change to halt biodiversity loss. To track progress toward its goals and targets, a dedicated monitoring framework has been established. The current biodiversity monitoring framework relies on a set of indicators developed through a unidirectional process of ...
Carol X. Garzon‐Lopez +9 more
wiley +1 more source
Graphical abstract summarizing the multifactorial pathogenesis of rheumatoid arthritis (RA) and the therapeutic potential of mesenchymal stromal cell (MSC) therapy. MSCs provide promising benefits through their immunomodulatory properties, low immunogenicity, ability to promote tissue repair, and multi‐lineage differentiation, presenting a potential ...
Yingjia Chen +6 more
wiley +1 more source
Parameter choices in acoustic analyses (sampling frequency, FFT size and window overlap) strongly influence multivariate soundscape separation. Using terrestrial and coral reef recordings, we show that these settings can exaggerate or mask ecological differences, emphasizing the need for parameter sensitivity testing and transparent reporting in ...
Juan C. Azofeifa‐Solano +8 more
wiley +1 more source

