Results 161 to 170 of about 36,753 (202)
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Advanced Science, EarlyView.A multi‐epitope digital surface‐enhanced Raman spectroscopy framework enables epitope‐resolved immunoprofiling by integrating bispecific antibody fragments with spectrally encoded nanotags. This approach decouples binding events into independent digital channels, allowing structure‐aware antigen analysis.
Jing Wang +4 more
wiley +1 more source
Practical Laboratory Medicine, 2023 Current pharmacy practice guidelines recommend 24-h area-under-curve (AUC24) targets for use of vancomycin against methicillin-resistant Staphylococcus aureus (MRSA). AUC protocol-specific vancomycin orders were begun recently (2022) at our institution.
Douglas F Stickle
exaly +4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
An alternative approach to calculating Area‐Under‐the‐Curve (AUC) in delay discounting research
Journal of the Experimental Analysis of Behavior, 2016Applied to delay discounting data, Area‐Under‐the‐Curve (AUC) provides an atheoretical index of the rate of delay discounting. The conventional method of calculating AUC, by summing the areas of the trapezoids formed by successive delay‐indifference point pairings, does not account for the fact that most delay discounting tasks scale delay ...
Allison M Borges +2 more
exaly +3 more sources
Doing More With Less: Pragmatic Implementation of Vancomycin Area-Under-the-Curve (AUC) Monitoring
Journal of Pharmacy Practice, 2021Universal area-under-the-curve (AUC) guided vancomycin therapeutic drug monitoring (TDM) is resource-intensive, cost-prohibitive, and presents a paradigm shift that leaves institutions with the quandary of defining the preferred and most practical method for TDM.
Joanne Huang +4 more
openaire +2 more sources
Biopharmaceutics and Drug Disposition, 1995
AbstractSix numerical integration algorithms based on linear and log trapezoidal methods as well as four cubic‐spline methods were proposed for estimation of area under the curve (AUC). These six different algorithms were implemented using IMSL/IDLTM command language and evaluated using data simulated under five different dosing conditions and two ...
Zhiling Yu, Francis L S Tse
exaly +3 more sources
AbstractSix numerical integration algorithms based on linear and log trapezoidal methods as well as four cubic‐spline methods were proposed for estimation of area under the curve (AUC). These six different algorithms were implemented using IMSL/IDLTM command language and evaluated using data simulated under five different dosing conditions and two ...
Zhiling Yu, Francis L S Tse
exaly +3 more sources
CYCLOSPORIN A (CyA) MONITOrING BY CALCULATION OF AREA UNDER THE CURVE (AUC)
Nephrology, 2000Background The introduction of CyA resulted in a significant prolongation in renal transplant survival but was complicated by the difficulty in distinguishing between transplant rejection and drug toxicity. More recently the conversion of stable transplant recipients to the microemulsion form of CyA resulted in significant nephrotoxicity at trough ...
Goodman D +3 more
openaire +1 more source
Journal of Pharmacokinetics and Pharmacodynamics, 1992
Eleven numerical methods for estimation of AUC (including 4 new methods) and 22 methods for AUMC (including 8 new methods) were tested on large simulated noisy datasets representing bolus, oral and infusion concentration-time profiles. Some methods were unacceptable because their mean error was large; these included a commonly recommended form of the ...
exaly +3 more sources
Eleven numerical methods for estimation of AUC (including 4 new methods) and 22 methods for AUMC (including 8 new methods) were tested on large simulated noisy datasets representing bolus, oral and infusion concentration-time profiles. Some methods were unacceptable because their mean error was large; these included a commonly recommended form of the ...
exaly +3 more sources
Journal of Pharmacokinetics and Biopharmaceutics, 1992
The usual formulas for the extrapolated values of AUC and AUMC from tn to infinity produce estimates that are biased. An empirical correction factor is shown to reduce both bias and variance of estimates. The fitted value Cz at the last time-point tn should normally be used in the formulas, rather than the measured concentration Cn.
openaire +2 more sources
The usual formulas for the extrapolated values of AUC and AUMC from tn to infinity produce estimates that are biased. An empirical correction factor is shown to reduce both bias and variance of estimates. The fitted value Cz at the last time-point tn should normally be used in the formulas, rather than the measured concentration Cn.
openaire +2 more sources
Journal of Pharmacy Technology, 2022
Background: Vancomycin and piperacillin-tazobactam (VPT) is a common antibiotic combination used in hospitals, and there has been increasing data indicating that the combination is associated with increased rates of acute kidney injury (AKI). It is unclear if the dosing method of vancomycin would mitigate the risk of AKI seen with VPT.
Cassandra Karas +4 more
openaire +2 more sources
Background: Vancomycin and piperacillin-tazobactam (VPT) is a common antibiotic combination used in hospitals, and there has been increasing data indicating that the combination is associated with increased rates of acute kidney injury (AKI). It is unclear if the dosing method of vancomycin would mitigate the risk of AKI seen with VPT.
Cassandra Karas +4 more
openaire +2 more sources