Results 131 to 140 of about 287,892 (302)
Reduced CB1 Cannabinoid Receptor Expression in Alzheimer's Disease and Transgenic Mouse Models
CB1 receptor (CB1R) expression was significantly reduced in the hippocampus, medial frontal gyrus, and superior temporal gyrus of Alzheimer's patients. CB1R levels negatively correlated with amyloid‐β and tau pathology. In addition, CB1R expression was also reduced in the cortex of 5xFAD mice and in the hippocampus of Tg4‐42 mice.
Nike von Borcke +4 more
wiley +1 more source
ABSTRACT Background Although NCCN guidelines recommend preoperative therapy for borderline resectable pancreatic cancer (BR‐PC), it is still unclear which regimen is better. The study objective was to elucidate the prognostic significance of neoadjuvant chemoradiotherapy (NACRT) with gemcitabine/nab‐paclitaxel (GnP‐RT) compared to gemcitabine alone ...
Hirofumi Akita +9 more
wiley +1 more source
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
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
Fluorinated carbohydrates for 18F-positron emission tomography (PET). [PDF]
Campbell E, Jordan C, Gilmour R.
europepmc +1 more source
Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono +5 more
wiley +1 more source
Objective This study aimed to compare positron emission tomography (PET) and plasma‐based temporal modeling of amyloid and tau biomarkers in Alzheimer's disease. Methods Longitudinal amyloid PET (n = 1,097, mean age ± SD = 72.5 ± 7.38 year, 51.4% male), 18F‐flortaucipir tau‐PET (n = 230, 74.3 ± 7.18 year, 52.2% female), and Fujirebio Lumipulse plasma p‐
Christopher A. Brown +14 more
wiley +1 more source

