Results 111 to 120 of about 101,401 (197)
Chaos theory modeling improves olecranodiaphyseal angle prediction from proximal ulnar dorsal angulation in healthy elbows. [PDF]
Misir A, Hancerli CO.
europepmc +1 more source
Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells
Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli +17 more
wiley +1 more source
Geometric Neural Ordinary Differential Equations: From Manifolds to Lie Groups. [PDF]
Wotte YP, Califano F, Stramigioli S.
europepmc +1 more source
Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro +8 more
wiley +1 more source
Active Inference and Functional Parametrisation: Differential Flatness and Smooth Random Realisation. [PDF]
Mounier H, Parr T, Friston K.
europepmc +1 more source
3D printed hybrid scaffolds combining bioactive silica–calcium chemistry with elastic polymers guide human bone stem cells to form bone. The scaffolds support cell survival, organization, and invasion while releasing osteogenic ions. Together, architecture and composition drive bone‐specific gene expression, extracellular matrix organization, and ...
David R. Sory +3 more
wiley +1 more source
Pressure skin wounds are frequent complications after spinal cord injury (SCI), with impaired healing due to vascular and immune deficits. Elastin‐like polypeptides (ELP) fused to α‐MSH (MSH‐ELP) or MCP‐1 (MCP‐ELP) are developed and tested on these wounds. The resulting nanoparticles are non‐toxic and bioactive, and they enhance macrophage recruitment,
Suneel Kumar +7 more
wiley +1 more source
Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage. [PDF]
Wang M, Xue X, Gao M, Coveney PV.
europepmc +1 more source
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales +12 more
wiley +1 more source
FatePredictor: Cell fate decision-making prediction with an ensemble deep learning model. [PDF]
Shen J, Chen N, Niu B, Zhong J, Liu R.
europepmc +1 more source

