Results 111 to 120 of about 93,106 (305)

Standardized Effect Measures Informing Next‐Generation Strategies for Mechanical Stimulation in Cartilage Tissue Engineering

Advanced Healthcare Materials, EarlyView.
This systematic review quantitatively compares conventional mechanical stimulation strategies in cartilage tissue engineering across 85 heterogeneous in vitro studies. Applying standardized effect measures, meta‐analysis reveals that combined compression and shear loading optimally promotes cartilage matrix development.
Jiaqi K. Shen, Tony B. Huang, Catherine E. Davey, Elias Salzer, Gerjo J. V. M. Van Osch, Sandra J. Shefelbine, Marcus G. Pandy, Kathryn S. Stok   +7 more
wiley   +1 more source

Start & Stop: a PhysiCell and PhysiBoSS 2.0 add-on for interactive simulation control

BMC Bioinformatics
In computational biology, in silico simulators are vital for exploring and understanding the behavior of complex biological systems. Hybrid multi-level simulators, such as PhysiCell and PhysiBoSS 2.0, integrate multiple layers of biological complexity ...
Riccardo Smeriglio, Roberta Bardini, Alessandro Savino, Stefano Di Carlo   +3 more
doaj   +1 more source

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

Advanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha, Amanda Paino Santana, Marta Maria Alves Pereira, Mariana Martins Guerreiro, Jose Mauro Granjeiro, Jamil Awad Shibli, Jeroen J. J. P. van den Beucken, Anton Sculean, Rafael Scaf de Molon, Erica Dorigatti de Avila   +9 more
wiley   +1 more source

There's more to a model than code: understanding and formalizing in silico modeling experience

, 2005
Mapping biology into computation has both a domain specific aspect -- biological theory -- and a methodological aspect -- model development. Computational modelers have implicit knowledge that guides modeling in many ways but this knowledge is rarely ...
Geard, N L, Willadsen, K, Mattick, J, Wiles, J, Hallinan, J, Watson, J, Bradley, D   +6 more
core  

Supervised learning to tune simulated annealing for in silico protein structure prediction [PDF]

, 2012
Simulated annealing is a widely used stochastic optimization algorithm whose efficiency essentially depends on the proposal distribution used to generate the next search state at each step.
Marcos Alvarez, Alejandro
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Nutritional Systems Biology Modeling: From Molecular Mechanisms to Physiology [PDF]

, 2009
The use of computational modeling and simulation has increased in many biological fields, but despite their potential these techniques are only marginally applied in nutritional sciences.
Ommen, Ben van, De Roos Baukje, Ommen, Ben van,, van Ommen Ben, van Ommen, Ben, Graaf, A.A. de, Martin Adiels, Adiels, Martin,, Rullmann, Johan A.C., Roos, Baukje de, Kevin D. Hall, de Graaf Albert A., Freidig, Andreas P.,, Hall, Kevin D.,, Neema Jamshidi, Andreas P. Freidig, Adiels, M., Hall, Kevin D, Hall Kevin D., Baukje De Roos, Johan A C Rullmann, Rullmann, J.A.C., Ben van Ommen, Graaf, Albert A. de, Rullmann Johan A.C., Freidig, Andreas P, Andreas P Freidig, Jamshidi Neema, Jamsheedi, Neema, Heinemann, M., Heinemann Matthias, Roos, B. de, Johan A.C. Rullmann, Adiels Martin, De Roos, Baukje, Ommen, B. van, Albert A de Graaf, Jamshidi, Neema,, de Graaf, Albert A, Adiels, Martin, Hall, K.D., Freidig, Andreas P., Heinemann, Matthias,, Hall, Kevin D., Roos, Baukje de,, Rullmann, Johan A C, Heinemann, Matthias; id_orcid, Albert A. de Graaf, Freidig Andreas P., Rullmann, Johan AC, Graaf, Albert A. de,, Freidig, A.P., Heinemann, Matthias, Matthias Heinemann, Rullmann, Johan A.C.,, Jamshidi, Neema, Jamshidi, N., Kevin D Hall   +57 more
core   +1 more source

Advancing the 3Rs in bone tissue engineering: emerging in vitro, in silico, and refined in vivo strategies

Frontiers in Physiology
Tissue engineering is an interdisciplinary field integrating materials science, biology, chemistry, and immunology to develop regenerative solutions for complex tissues. Validation of tissue-engineered therapies, however, remains challenging—particularly
Adelaide L. Cagle, Afton K. Limberg, Amritha Anup, Aleyna E. La Croix, Katherine R. Hixon, Katherine R. Hixon   +5 more
doaj   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source