Results 131 to 140 of about 291,982 (298)
ABSTRACT Aim The optimal surgical strategy and extent of lymph node (LN) dissection for clinical Stage I (cStage I) adenocarcinoma of the esophagogastric junction (AEG) remain controversial. This study aimed to evaluate surgical outcomes and clarify the prevalence and distribution of LN metastasis according to tumor characteristics in cStage I Siewert ...
Masayoshi Terayama +9 more
wiley +1 more source
Chelator‐Free Radiometal Labeling Inside Engineered Affibodies
Affibodies are compact and robust three‑helix binders used in imaging and therapy. Engineering a triple‑cysteine motif into their core enables chelator‑free binding of important radiometals, like Bi(III), Pb(II), In(III), and Ga(III) with rapid uptake and exceptional stability.
Lani J. Davies +6 more
wiley +2 more sources
Although neoadjuvant chemotherapy with fluorouracil, cisplatin, and docetaxel (NAC‐DCF) is the current standard neoadjuvant regimen for esophageal squamous cell carcinoma, its substantial toxicity underscores the need to identify patients who derive the greatest benefit.
Eiji Higaki +9 more
wiley +1 more source
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Relapses, Comorbidities, and Predictors of Outcome in Anti‐GABAA Receptor Encephalitis
Objectives To characterize the magnetic resonance imaging (MRI) lesion dynamics, comorbidities, predictors of relapse, and outcomes in anti‐γ‐aminobutyric acid type A receptor (GABAAR) encephalitis, and assess the utility of LIM‐domain‐only‐protein 5 (LMO5) antibodies as tumor markers.
Claudia Papi +33 more
wiley +1 more source
Objectives The interleukin (IL)‐1, IL‐6, and C‐reactive protein (CRP) pathway is central to the immune response after intracerebral hemorrhage (ICH). We tested for associations between hematoma and plasma cytokine concentrations and patient outcomes in Minimally Invasive Surgery Plus Rt‐PA for ICH Evacuation Phase III (MISTIE III) participants ...
Adrian R. Parry‐Jones +54 more
wiley +1 more source
Multimorbidity and Associations with Cognition and Alzheimer's Disease Biomarkers
Objective Multimorbidity, the coexistence of 2 or more chronic conditions, has been linked to cognitive aging and Alzheimer's disease (AD) and AD‐related dementias, yet the mechanisms remain unclear. We aimed to examine the associations of multimorbidity with cognition and biomarkers across multiple mechanistic pathways.
Xiaqing Jiang +45 more
wiley +1 more source
The use of PET/MRI in radiotherapy
Positron emission tomography/magnetic resonance imaging (PET/MRI) is a hybrid imaging technique that quantitatively combines the metabolic and functional data from positron emission tomography (PET) with anatomical and physiological information from MRI.
Qi Yan +4 more
doaj +1 more source

