Results 211 to 220 of about 5,846,406 (312)
Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection. [PDF]
Ajarmah B, Iwidat H.
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
Early retinal disease detection from fundus images using deep neural networks. [PDF]
Hailu AA +6 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
Accurate prediction of ecDNA in interphase cancer cells using deep neural networks. [PDF]
Prasad G +17 more
europepmc +1 more source
Mitochondria‐targeted nanotherapies emerge as a promising strategy for combating aging‐associated neurodegenerative disorders (NDs) by restoring mitochondrial function, reducing oxidative stress, and improving neuronal survival. Recent advances in nanotechnology, therapeutic delivery, and translational research are highlighted, providing insights into ...
Dnyandev G. Gadhave +8 more
wiley +1 more source
Anti-interference diffractive deep neural networks for multi-object recognition. [PDF]
Huang Z +13 more
europepmc +1 more source
How is Nanoarchitectonics Shaping Extracellular Vesicle Research?
The convergence of nanoarchitectonics and extracellular vesicle biology is reshaping next‐generation nanomedicine by enabling rationally designed nanostructures for enhanced EVs detection, engineering, and therapy. ABSTRACT Extracellular vesicles (EVs) have gained recognition as crucial mediators of cell‐to‐cell communication, holding immense potential
Madushani Dahanayake +5 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
Making the Case for Organ‐on‐Chip Platforms in Long‐Acting Therapeutics Development
LATs release drug from a tissue‐resident depot over weeks to months, improving adherence, but their development is hampered by preclinical models that cannot reproduce the coupled tissue processes, sustained release, local microenvironment change, interstitial transport, immune and foreign‐body responses, and clearance that govern depot performance in ...
Charlie Gowans +7 more
wiley +1 more source

