Results 241 to 250 of about 363,254 (328)
Mucin Glycoprotein Nanoparticles Enable a Selective Antisense Therapy for Oncogenic MicroRNAs
Mucin glycoproteins are turned into nanoparticles by employing synthetic DNA strands, which have a dual function: they stabilize the nanoparticles and act as binding sites for intracellular miRNA‐21. Thus, upon internalization into tumor cells, these mucin nanoparticles can deplete miRNA‐21 from the cytosol, which induces apoptosis in vitro and in vivo.
Ceren Kimna +9 more
wiley +1 more source
An Efficient Cluster-Based Mutual Authentication and Key Update Protocol for Secure Internet of Vehicles in 5G Sensor Networks. [PDF]
Su X, Xu Y.
europepmc +1 more source
Social Internet of Vehicles: Complexity, Adaptivity, Issues and Beyond
Ayesha Siddiqa +6 more
openalex +1 more source
This review explains how biomaterials and nanoparticles can be used to induce or modulate tertiary lymphoid structures (TLSs), which are ectopic immune hubs that form in nonlymphoid tissues during chronic disease and cancer. By comparing different methods, the article highlights design principles for modeling TLSs or recapitulating specific TLS ...
Shaza Karaman, Mei ElGindi, Jeremy Teo
wiley +1 more source
Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles. [PDF]
Almakayeel N.
europepmc +1 more source
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari +5 more
wiley +1 more source
A Conditional Privacy-Preserving Identity-Authentication Scheme for Federated Learning in the Internet of Vehicles. [PDF]
Xu S, Liu R.
europepmc +1 more source
Multi-Objective Distributed Client Selection in Federated Learning-Assisted Internet of Vehicles. [PDF]
Cha N, Chang L.
europepmc +1 more source

