Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Efficient deep neural networks for cancer detection on histopathology combining attention and image downsampling. [PDF]
Socolovsky M +5 more
europepmc +1 more source
Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction
Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch +13 more
wiley +1 more source
Lightweight deep neural networks: Optimization of vehicle classification using ICBAM based on depthwise separable convolutions. [PDF]
Niu Q, Han J, Sui Z, Xu F.
europepmc +1 more source
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Dimensions underlying the representational alignment of deep neural networks with humans. [PDF]
Mahner FP +3 more
europepmc +1 more source
From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov +5 more
wiley +1 more source
Enhancing Early Detection of Diabetic Foot Ulcers Using Deep Neural Networks. [PDF]
Eldin AS, Ahmoud AS, Hamza HM, Ardah H.
europepmc +1 more source
This study introduces an innovative approach to treating intervertebral disc degeneration using ultrasound‐triggered in situ hydrogel formation. Proof‐of‐concept experiments using optimized biomaterial and ultrasound parameters demonstrate partial restoration of biomechanical function and successful integration into degenerated disc tissue, offering a ...
Veerle A. Brans +11 more
wiley +1 more source
Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata - a retrospective study. [PDF]
Caro RDC, Orlova V, Meo ND, Zalaudek I.
europepmc +1 more source

