Results 191 to 200 of about 649,217 (300)
Deep learning for early detection of cerebral small vessel disease using self-supervised graph embeddings and retinal image analysis. [PDF]
Nandhini S, Vanitha K.
europepmc +1 more source
This study presents a magneto‐mechanical strategy that incorporates FP@MSCs into an aligned PCL/GelMA nerve guidance conduit. Magnetic stimulation increases membrane tension in FP@MSCs, triggering cytoskeletal remodeling, Schwann cell‐like differentiation, and TIMP1 secretion. TIMP1 activates ITGB1/CD63–FAK signaling in NE‐4C cells, increasing membrane
Xinyu Zhu +14 more
wiley +1 more source
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants. [PDF]
Danner M +4 more
europepmc +1 more source
On z-monodromies in embedded graphs
We characterize all permutations which realize as the $z$-monodromies of faces in connected simple finite graphs embedded in surfaces whose duals are also simple.
openaire +3 more sources
Gonzalez Martinez and collaborators develop a strategy to formulate high performance GelMA‐based bioinks with low solids contents. The resulting bioinks enable 3D bioprinting at 37 °C of high‐fidelity structures with tunable mechanical properties that support high cell viability and function.
David A. González‐Martínez +8 more
wiley +1 more source
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings. [PDF]
Chang D +5 more
europepmc +1 more source
Code for Ultrahyperbolic Knowledge Graph Embeddings
This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method UltraE, a geometric embedding approach for knowledge graph embeddings.
Xiong, Bo +5 more
core +1 more source
A heart‐on‐a‐chip model of dilated cardiomyopathy is developed from patient‐derived induced pluripotent stem cells. The model recapitulates key disease phenotypes and enables functional assessment through integrated bead‐based tracking and pillar deflection measurements.
Ali Mousavi +10 more
wiley +1 more source
Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings. [PDF]
Jin K +7 more
europepmc +1 more source
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett +7 more
wiley +1 more source

