Results 281 to 290 of about 1,932,979 (312)
This work presents a “tooth‐on‐chip” device that mimics dental pulp tissue. By co‐culturing key cell types, it recreates vascular networks, stem cell niches, the odontoblast/dentine interface, and trigeminal innervation. This innovative platform provides a unique model of dental pulp structure and physiology, with significant potential for accelerating
Alessandro Cordiale +6 more
wiley +1 more source
Interpretable Multi-Cancer Early Detection Using SHAP-Based Machine Learning on Tumor-Educated Platelet RNA. [PDF]
Hajjar M, Aldabbagh G, Albaradei S.
europepmc +1 more source
Biological patterns with cellular neural networks
Gianluca Setti, Patrick Thiran
openalex +1 more source
Vascularized skin organoids are developed from human induced pluripotent stem cells and contain macrophages, Langerhans cells, and neutrophils. Vascularized skin organoids offer a transformative platform to model skin biology and enable mechanistic investigations of inflammatory and hematologic skin disorders.
Mitchell Mostina +9 more
wiley +1 more source
Dual-channel heterogeneous feature fusion neural network for the prediction of post-transcriptional gene expression in Escherichia coli. [PDF]
Wang Z +6 more
europepmc +1 more source
UV Laser‐Induced Carbon Microelectrode Arrays for Neuronal Recordings
Thin‐film electrodes are flexible devices of high conformability and minimal dimensions with attractive properties for in vivo and in vitro bioelectronics. Here, electrodes are developed from parylene films via ultraviolet laser‐induced carbonization.
Fulvia Del Duca +10 more
wiley +1 more source
Generative diffusion model surrogates for mechanistic agent-based biological models. [PDF]
Comlekoglu T +5 more
europepmc +1 more source
Exploring the exact solutions to the nonlinear systems with neural networks method. [PDF]
Muhammad J +3 more
europepmc +1 more source
Visible neural networks for multi-omics integration: a critical review. [PDF]
Selby DA +8 more
europepmc +1 more source
DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction. [PDF]
Li B, Xiao X, Zhang C, Xiao M, Zhang L.
europepmc +1 more source

