Results 151 to 160 of about 218,844 (266)
Accurate prediction of ecDNA in interphase cancer cells using deep neural networks. [PDF]
Prasad G +17 more
europepmc +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Anti-interference diffractive deep neural networks for multi-object recognition. [PDF]
Huang Z +13 more
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Order parameters and phase transitions of continual learning in deep neural networks. [PDF]
Shan H, Li Q, Sompolinsky H.
europepmc +1 more source
Catechol‐functionalized cellulose hydrogels are developed as injectable, bioadhesive platforms for retinal neuroprotection. The hydrogels exhibit tunable rheological and mechanical properties, strong tissue adhesion, and sustained antioxidative activity.
Kai‐Hsiang Chang +4 more
wiley +1 more source
Interpreting Performance of Deep Neural Networks with Partial Information Decomposition. [PDF]
Liu T, Guo B, Yin Z, Mi Z, Jin D.
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
Federated learning for privacy-preserving skin cancer classification using deep neural networks. [PDF]
Alfalahi MAM +3 more
europepmc +1 more source
Tomographic Printing in a Chip: A Versatile Platform for Biomimetic 3D Organ‐on‐Chip
A novel light‐based bioprinting approach, TVAM‐in‐a‐chip, enables rapid, contactless fabrication of biomimetic 3D organ‐on‐chip devices directly within preassembled microfluidic platforms. This strategy supports diverse materials, including cell‐laden resins, and eliminates post‐assembly steps.
Riccardo Rizzo +3 more
wiley +1 more source

