Results 211 to 220 of about 2,617,552 (333)

Model‐informed drug development to support nemolizumab clinical development in adults and adolescents with moderate to severe atopic dermatitis

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Population pharmacokinetic (popPK) and pharmacokinetic‐pharmacodynamic (PK/PD) models were developed to support clinical development of nemolizumab, a humanized monoclonal antibody targeting the IL‐31 receptor α, in adolescents and adults with moderate‐to‐severe atopic dermatitis (AD).
Floris Fauchet   +17 more
wiley   +1 more source

A novel extension of the exponential distribution with application in modeling complex lifetime and environmental data. [PDF]

open access: yesSci Rep
Aljohani HM   +8 more
europepmc   +1 more source

Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu   +4 more
wiley   +1 more source

Activism as education in and through the youth climate justice movement

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Young people worldwide are increasingly participating in a global movement for climate justice, yet to date, little research has examined how youth climate justice activists conceive of and experience activism as education. The present study used in‐depth, semi‐structured interviews with 16 US climate justice activists (aged 15–17) to address ...
Carlie D. Trott
wiley   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

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