Results 231 to 240 of about 2,422,838 (348)
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle+9 more
wiley +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs. [PDF]
Raghebi Z, Banaei-Kashani F.
europepmc +1 more source
A note on the hardness results for the labeled perfect matching problems in bipartite graphs [PDF]
Jérôme Monnot
openalex
The complexity of the
Robert Janczewski+2 more
openalex +1 more source
Finite Factors of Bernoulli Schemes and Distinguishing Labelings of Directed Graphs [PDF]
Andrew Lazowski, Stephen M. Shea
openalex +1 more source
Upconversion nanoparticle‐covalent organic framework core–shell particles provide enhanced contrast for optoacoustic imaging by leveraging the optical absorption of upconversion luminescence within the covalent organic framework matrix. Beyond their role as contrast agents, these particles enable customizable therapeutic agent loading and release, as ...
Dong Wook Kim+8 more
wiley +1 more source
From biomedical knowledge graph construction to semantic querying: a comprehensive approach. [PDF]
Wang L, Hao H, Yan X, Zhou TH, Ryu KH.
europepmc +1 more source
Photonic Nanomaterials for Wearable Health Solutions
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park+3 more
wiley +1 more source