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Hybrid Chemical Machine Learning and Molecular Dynamics Model Guides the Development of Novel Local Anesthetic Drug-Excipient Nanoparticles with Extended Analgesia in Mouse Models

Publication ,  Conference
Cortina, G; Li, L; Onweller, L; Laforet, J; Zhang, Z; Ji, R-R; Reker, D
Published in: ANESTHESIA AND ANALGESIA
2025

Duke Scholars

Published In

ANESTHESIA AND ANALGESIA

EISSN

1526-7598

ISSN

0003-2999

Publication Date

2025

Volume

140

Issue

5

Start / End Page

698 / 699

Related Subject Headings

  • Anesthesiology
  • 3202 Clinical sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cortina, G., Li, L., Onweller, L., Laforet, J., Zhang, Z., Ji, R.-R., & Reker, D. (2025). Hybrid Chemical Machine Learning and Molecular Dynamics Model Guides the Development of Novel Local Anesthetic Drug-Excipient Nanoparticles with Extended Analgesia in Mouse Models. In ANESTHESIA AND ANALGESIA (Vol. 140, pp. 698–699).
Cortina, George, Lisa Li, Lauren Onweller, Joseph Laforet, Zilu Zhang, Ru-Rong Ji, and Daniel Reker. “Hybrid Chemical Machine Learning and Molecular Dynamics Model Guides the Development of Novel Local Anesthetic Drug-Excipient Nanoparticles with Extended Analgesia in Mouse Models.” In ANESTHESIA AND ANALGESIA, 140:698–99, 2025.

Published In

ANESTHESIA AND ANALGESIA

EISSN

1526-7598

ISSN

0003-2999

Publication Date

2025

Volume

140

Issue

5

Start / End Page

698 / 699

Related Subject Headings

  • Anesthesiology
  • 3202 Clinical sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences