GitHub / Zeisig0115 / Characterization-of-LNP-Drug-Delivery-Vehicles-by-Machine-Learning
Machine learning-powered characterization of lipid nanoparticles (LNPs) using physics-based simulations and SAXS analysis. Our CNN and ResNet models enable rapid, cost-effective classification and size distribution prediction, offering an alternative to cryo-EM for nanomedicine applications.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zeisig0115%2FCharacterization-of-LNP-Drug-Delivery-Vehicles-by-Machine-Learning
PURL: pkg:github/Zeisig0115/Characterization-of-LNP-Drug-Delivery-Vehicles-by-Machine-Learning
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 11.7 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: characterization, lipid-nanoparticle, machine-learning, physics-simulation, small-angle-xray-scattering