Results 221 to 230 of about 50,800 (294)
ABSTRACT Background The Department of Gastroenterological Surgery at Kumamoto University has maintained a commitment to integrating cutting‐edge clinical practice with fundamental research, particularly concerning malignant diseases of the digestive tract.
Hideo Baba +4 more
wiley +1 more source
This study aimed to determine whether immuno‐nutritional and inflammatory markers could serve as predictors of the outcomes of postoperative adjuvant chemotherapy for stage III colorectal cancer in elderly patients. Postoperative lymphocyte‐to‐monocyte ratio and postoperative C‐reactive protein‐to‐albumin ratio accurately predicted the efficacy of ...
Tomoya Tago +6 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Cumulative Antigen Suppression Reduces Clonal Plasma Cell Evolution in Gaucher Disease
ABSTRACT Chronic antigenic stimulation is implicated in the pathogenesis of monoclonal gammopathy and multiple myeloma, yet longitudinal human evidence linking sustained antigen exposure to modifiable clonal plasma cell evolution remains limited. Gaucher disease (GD), caused by biallelic GBA1 pathogenic variants, is characterized by accumulation of ...
Noor Ul Ain +10 more
wiley +1 more source
Posthumously Diagnosed Myhre Syndrome Presenting With Pleural Remodeling and Endometrial Cancer
ABSTRACT Myhre syndrome (OMIM 139210) is a genetic condition defined by neurodevelopmental disability, characteristic facial features, and multisystem proliferative fibrosis. While various types of lung disease have been reported, pleural remodeling leading to restrictive lung disease has not yet been described.
Jeanette Saffir +6 more
wiley +1 more source
Zebrafish and CRISPR—A synergistic approach to decipher and cure human diseases
Zebrafish, with high genetic homology to humans, serves as a powerful vertebrate model for disease modeling and drug discovery. Integration of CRISPR/Cas9 technology enables precise genome editing, facilitating the development of translational models for human diseases.
Manikandan Sivaprakasam +4 more
wiley +1 more source

