Results 191 to 200 of about 1,249,090 (302)

Model‐informed precision dosing of carboplatin in cancer patients by leveraging myelosuppression data from electronic health records

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims This study aimed to develop and validate a population pharmacokinetic‐pharmacodynamic (pop‐PK‐PD) model to describe carboplatin‐induced myelosuppression in cancer patients and support dose individualization. Methods Data from 580 cancer patients treated with carboplatin at Amsterdam UMC between 2019 and 2022 were used for model ...
Alessandro De Carlo, Elena Maria Tosca, Mirjam Crul, Tim Schutte, Lia van Zuijlen, Idris Bahce, Medhat M. Said, Jan Buter, Harmen Huls, Paolo Magni, Imke Bartelink   +10 more
wiley   +1 more source

Bayesian inference for geophysical fluid dynamics using generative models. [PDF]

Philos Trans A Math Phys Eng Sci
Lobbe A, Crisan D, Lang O.
europepmc   +1 more source

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

British 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, Zihan Qin, Logan S. Smith, Jeong M. Park, Hao‐Jie Zhu   +4 more
wiley   +1 more source

BiGSM: Bayesian inference of gene regulatory network via sparse modelling. [PDF]

Bioinformatics
Qin H, Garbulowski M, Sonnhammer ELL, Chatterjee S.   +3 more
europepmc   +1 more source

How can welfare regime and production regime theories explain differences in schools’ ability grouping policies? A comparative study using the PISA school survey

British Educational Research Journal, EarlyView.
Abstract Research evidence is mixed on the consequences of ability grouping policies, but most research has found an overrepresentation of disadvantaged social demographics in low‐ability groups. However, researchers have neglected to explain why ability grouping policies vary between countries.
Monica Reichenberg, Girma Berhanu, Lena Fridlund   +2 more
wiley   +1 more source

Bayesian inference in racial health inequity analyses for noncommunicable diseases: a systematic review. [PDF]

Syst Rev
Espinosa O, Bejarano V, Mejía A, Castro H, Paternina-Caicedo A.   +4 more
europepmc   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology 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, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning. [PDF]

PLoS Comput Biol
Qü AJ, Tai LH, Hall CD, Tu EM, Eckstein MK, Mishchanchuk K, Lin WC, Chase JB, MacAskill AF, Collins AGE, Gershman SJ, Wilbrecht L.   +11 more
europepmc   +1 more source

Continual decision‐making dynamics across biological organisms

Biological Reviews, EarlyView.
ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley   +1 more source

Estimating epidemiological parameters of highly pathogenic avian influenza in common terns using exact Bayesian inference. [PDF]

J Anim Ecol
Ewing DA, Bouwhuis S.
europepmc   +1 more source