Results 91 to 100 of about 1,804,645 (286)

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

The Aging Substantia Nigra is Characterized by ROS Accumulation Potentially Resulting in Increased Neuroinflammation and Cytoskeletal Remodeling

open access: yesAdvanced Biology, EarlyView.
Definition of study groups, including young individuals (n = 7 mean age: 28.7 years), middle aged individuals (n = 14 mean age: 62.3 years) and elderly individuals (n = 14 mean age: 83.9 years). Condensed workflow including sample preparation (sample lysis and tryptic digestion), mass spectrometric measurements and subsequent data and statistical ...
Britta Eggers   +10 more
wiley   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

open access: yesAdvanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener   +7 more
wiley   +1 more source

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein   +44 more
wiley   +1 more source

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