Development and validation of a Machine Learning-Based Pharmacodynamic Model Of Rocuronium induced neuromuscular block during general anesthesia: Using the Leiden Data Logger

Neuromuscular blocking agents (NMBAs) are commonly employed in anesthesia to facilitate intubation and improve surgical working conditions. Understanding their pharmacokinetics (PK) and pharmacodynamics (PD) is crucial for optimizing their administration. PK describes drug absorption, distribution, metabolism, and elimination, while PD links...

Prediction of Post-induction Hypotension by Machine Learning

Anesthesia-related hypotension is a significant concern during surgery, occurring shortly after induction and potentially leading to severe complications. Since the anesthetic drug is believed to have an important role in the occurrence of post-induction hypotension (PIH), anesthesiologists now advocate for the appropriate selection of...