Results 121 to 130 of about 12,736,310 (369)

Artificial in its own right [PDF]

Artificial Cells, , Artificial Ecologies, Artificial Intelligence, Bio-Inspired Hardware Systems, Computational Autopoiesis, Computational Biology, Computational Embryology, Computational Evolution, Morphogenesis, Cyborgization, Digital Evolution ...
Elkin, Keith
core  

Multimolecular Competition Effect as a Modulator of Protein Localization and Biochemical Networks in Cell‐Size Space

Advanced Science
Cells are small, closed spaces filled with various types of macromolecules. Although it is shown that the characteristics of biochemical reactions in vitro are quite different from those in living cells, the role of the co‐existence of various ...
Saki Nishikawa, Gaku Sato, Sakura Takada, Shunshi Kohyama, Gen Honda, Miho Yanagisawa, Yutaka Hori, Nobuhide Doi, Natsuhiko Yoshinaga, Kei Fujiwara   +9 more
doaj   +1 more source

Genipin-Cross-Linked Microencapsulated Human Adipose Stem Cells Augment Transplant Retention Resulting in Attenuation of Chronically Infarcted Rat Heart Fibrosis and Cardiac Dysfunction

Cell Transplantation, 2012
Stem cell transplantation has been widely acknowledged for their immense potential in regenerative medicine. In these procedures, the implanted cells need to maintain both their viability and functional properties for effective therapeutic outcomes. This
Arghya Paul, Guangyong Chen, Afshan Khan, Vijayaraghava T. S. Rao, Dominique Shum-Tim, Satya Prakash   +5 more
doaj   +1 more source

Shape and Size Control of Artificial Cells for Bottom-Up Biology

ACS Nano, 2019
Bottom-up biology is an expanding research field that aims to understand the mechanisms underlying biological processes via in vitro assembly of their essential components in synthetic cells. As encapsulation and controlled manipulation of these elements
F. Fanalista, A. Birnie, Renu Maan, F. Burla, Kevin Charles, G. Pawlik, S. Deshpande, G. Koenderink, M. Dogterom, C. Dekker   +9 more
semanticscholar   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Liquid–liquid phase separation in artificial cells

Interface Focus, 2018
Liquid–liquid phase separation (LLPS) in biology is a recently appreciated means of intracellular compartmentalization. Because the mechanisms driving phase separations are grounded in physical interactions, they can be recreated within less complex ...
C. Crowe, C. Keating
semanticscholar   +1 more source

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

Constructing vesicle-based artificial cells with embedded living cells as organelle-like modules

Scientific Reports, 2018
There is increasing interest in constructing artificial cells by functionalising lipid vesicles with biological and synthetic machinery. Due to their reduced complexity and lack of evolved biochemical pathways, the capabilities of artificial cells are ...
Y. Elani, T. Trantidou, Douglas Wylie, L. Dekker, K. Polizzi, R. V. Law, O. Ces   +6 more
semanticscholar   +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

Development of Ternary Magnesium Alloys for Laser Powder Bed Fusion: Optimizing Oxide Layer Thickness

Advanced Engineering Materials, EarlyView.
Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach, Stefan Julmi, Sabine Behrens, Tatiana Blank, Arvid Abel, Nicole Emminghaus, Ludger Overmeyer, Christian Klose, Hans Jürgen Maier   +8 more
wiley   +1 more source