Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Capturing surgical site infection after hip fracture surgery : insights from linked routine data. [PDF]
Masters J +3 more
europepmc +1 more source
A case of metatarsal fracture treated with homoeopathy [PDF]
Priyanka Mandloi, Shobhana Shukla
openalex +1 more source
A 3D‐architected auxetic metamaterial is used to construct capacitive and resistive tactile sensors via digital light processing‐based additive manufacturing. The inward deformation of the proposed structure under compression amplifies local strain, enhancing sensing performance.
Mingyu Kang +3 more
wiley +1 more source
Comparative study of total thoracoscopic and traditional incision internal fixation for the treatment of multiple rib fractures. [PDF]
Yan K +5 more
europepmc +1 more source
Selective facet joint and interlaminar fusion using unilateral biportal endoscopy for thoracolumbar compression fractures: a comparative study [PDF]
Bo Zheng +4 more
openalex +1 more source
3D Printing of Functional Mesoporous Silica Monoliths with Embedded Metal and MOF Components
This article presents the development of silica nanocage‐based nano‐inks tailored for digital light processing 3D printing, enabling automated additive manufacturing of mesoporous monoliths. Novel strategies for incorporating metal sites and inducing in situ growth of metal‐organic frameworks are introduced.
Thomas Gaillard +7 more
wiley +1 more source
The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe +9 more
wiley +1 more source
A comparative study of MLP and LSTM neural networks for shale gas production prediction based on numerical simulation data. [PDF]
Fei X, Ye M, Du Z, Miao H.
europepmc +1 more source

