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 effectiveness of marine protected areas on the spatio-temporal patterns of reef fish in the Southwest Atlantic. [PDF]
Carminatto AA+5 more
europepmc +1 more source
Toward Design Principles for Biomolecular Condensates for Metabolic Pathways
Biomolecular condensates are membrane‐less compartments found through‐out nature which can serve as reaction crucibles for biochemical processes. This review explores the design strategies underlying how condensates can be used in biotechnology to enhance multistep enzyme cascades including enhancement by mass action and substrate channeling, and ...
Alain A.M. André+3 more
wiley +1 more source
Definition of the microbial rare biosphere through unsupervised machine learning. [PDF]
Pascoal F+4 more
europepmc +1 more source
The Regulation of Trace Metal Elements in Cancer Ferroptosis
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang+5 more
wiley +1 more source
Comparison of Relative and Absolute Abundance and Biomass of Freshwater Phytoplankton Taxa Using Metabarcoding and Microscopy. [PDF]
Mikhailov IS+4 more
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
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
TIPP3 and TIPP3-fast: Improved abundance profiling in metagenomics. [PDF]
Shen C, Wedell E, Pop M, Warnow T.
europepmc +1 more source
Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann+18 more
wiley +1 more source
Observation on the Elemental Abundances of Low-Energy Cosmic Rays in July 1964 [PDF]
D. V. Reames, C. E. Fichtel
openalex +1 more source