Results 231 to 240 of about 254,559 (302)

Intersection Between Local Anesthetics and Cancer Biology: What Now? Where Are We Going?

Advanced Biology, EarlyView.
Local anesthetics (LAs), widely used in anesthesia, may also play a role in cancer treatment by inhibiting tumor growth, reducing metastasis, and enhancing immune responses. They modulate key pathways like AKT/mTOR and RAS/ERK while affecting angiogenesis and tumor innervation and the immune response.
Eduardo Nunez‐Rodriguez, Hao Zhang, Dhananjay Sah, Juan P. Cata   +3 more
wiley   +1 more source

Prognostic value of lymph node-to-primary tumor ratio of PET standardized uptake value for nasopharyngeal carcinoma: a recursive partitioning risk stratification analysis. [PDF]

Ther Adv Med Oncol
Kong FF, Pan GS, Ni MS, Du CR, Hu CS, Ying HM.   +5 more
europepmc   +1 more source

Investigating the Cellular Effects of GALC Dosing in Enzyme Replacement Therapy for Krabbe Disease Supports the Role of Nanomedicine

Advanced Biology, EarlyView.
A detailed workflow for recombinant GALC production and characterization is presented to support enzyme replacement therapy for Krabbe disease. In vitro assays demonstrate that physiological GALC doses restore enzymatic activity and autophagic flux without affecting cell viability, whereas higher doses impair autophagy and reduce viability.
Ambra Del Grosso, Sara Carpi, Laura Colagiorgio, Miriam De Sarlo, Mariacristina Gagliardi, Marco Cecchini   +5 more
wiley   +1 more source

Prognostic Strength of CA 19-9, Demographic Parameters, and Maximum Standardized Uptake Value of Baseline 18F-FDG PET/CT in Treatment-naïve Patients with Pancreatic Carcinoma. [PDF]

Indian J Nucl Med
Fatima N, Zaman U, Zaman A, Zaman S, Tahseen R, Zaman MU.   +5 more
europepmc   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

The combination of maximum standardized uptake value and clinical parameters for improving the accuracy in distinguishing primary mediastinal lymphomas from thymic epithelial tumors. [PDF]

Quant Imaging Med Surg
Yan H, Wang L, Lei B, Ruan M, Chang C, Zhou M, Liu L, Xie W, Wang Y.   +8 more
europepmc   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

Feature Importance Analysis and Machine Learning for Alzheimer's Disease Early Detection: Feature Fusion of the Hippocampus, Entorhinal Cortex, and Standardized Uptake Value Ratio. [PDF]

Digit Biomark
Hassouneh A, Bazuin B, Danna-Dos-Santos A, Acar I, Abdel-Qader I, Alzheimer’s Disease Neuroimaging Initiative.   +5 more
europepmc   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source