Results 201 to 210 of about 509,198 (290)

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

Advanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi, Anjali Kumari, Samaneh Ghadami, Saqer Al Abdullah, Kristen Dellinger   +4 more
wiley   +1 more source

PDB40 COST-UTILITY ANALYSIS IN A USA SETTING OF SCREENING AND OPTIMIZED TREATMENT OF NEPHROPATHY IN HYPERTENSIVE PATIENTS WITH TYPE-2 DIABETES

, 2005
Andrew Palmer, R Chen, WJ Valentine, S Roze, S Gabriel, N Mehin, B. Bregman, R Rodby   +7 more
openalex   +1 more source

PSK5 COST-UTILITY ANALYSIS OF AMEVIVE TM (ALEFACEPT) IN THE TREATMENT OF PATIENTS WITH MODERATE-TO-SEVERE PSORIASIS

, 2005
Michaël Iskedjian, L Barkovsky, Olivier Desjardins, JH Walker, M Dorkalam, Neil H. Shear, TR Einarson   +6 more
openalex   +1 more source

MC4 CHOOSING BETWEEN SFI2/SF-36 PREFERENCE-BASED ALGORITHMS FOR COST-UTILITY ANALYSIS

, 2005
AS Pickard, Zixuan Wang, TA Lee, SM Walton   +3 more
openalex   +1 more source

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

Advanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng, Ziping Sang, Jiali Zhang, Felix Radtke, Louis Becker, Simone Herzog, Sebastian Weber, Christoph Broeckmann   +7 more
wiley   +1 more source

PNL23 COST-UTILITY ANALYSIS FOR EARLY PATIENTS WITH PARKINSON'S DISEASE TREATED BY DOPAMINE AGONISTS

, 2005
Chikina Es, YB Belousov, Gusev El, D. Yu. Belousov, AB Guecht   +4 more
openalex   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Multifunctional Design of Triply Periodic Minimal Surface Structures for Temporary Pediatric Fixation Devices

Advanced Engineering Materials, EarlyView.
A metallic implant's higher stiffness compared to the surrounding bone leads to stress shielding problems, causing bone density reduction and bone growth interference in pediatric patients. 3D‐printed triply periodic minimal surface structures present a promising engineering solution.
Ali Ebrahimzadeh Dehaghani, Zia Javanbakht, Martina Barzan, David G. Lloyd, Stefanie Feih   +4 more
wiley   +1 more source

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

Advanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia, Nicholas Xuanlai Fang, Mary C. Boyce   +2 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source