Results 271 to 280 of about 319,994 (331)

Advancing the bioassay ontology through integrated PK/PD and safety pharmacology representation. [PDF]

J Biomed Semantics
Glenny-Pescov J, Chung C, Ross N, Hu J, Sinclair M, Khurshid R, Karlsson A, Schürer SC.   +7 more
europepmc   +1 more source

Diffusion Coefficient and Viscosity of Methyl Viologen Electrolyte Estimation Based on a Kinetic Monte Carlo Computational Approach Coupled with the Mean Square Displacement Method

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
A novel and comprehensive 3D‐resolved kinetic Monte Carlo model coupled with mean square displacement analysis is introduced. This computational approach allows to explore, for the first time, the concentration and the state of charge effects on ionic diffusion coefficient and viscosity in methyl viologen‐based electrolytes used in organic redox flow ...
Jia Yu, Emmanuel Baudrin, Alejandro A. Franco   +2 more
wiley   +1 more source

GitHub Workflows in Open Source Repositories

X
openalex   +1 more source

An Overview on GITHUB

International Journal for Research in Applied Science and Engineering Technology, 2019
openaire   +1 more source

The DO-KB knowledgebase 2026 update: expanding programmatic and language access. [PDF]

Nucleic Acids Res
Baron JA, Johnson CMS, Schor MA, Olley D, Nickel L, Felix V, Bello SM, Greene C, Lichenstein R, Bisordi K, Koka R, Bearer C, Macatangay R, Ada N, Ballenger K, Bliss E, Colliver L, Dobbins G, Heitzig H, Dixon S, Semesky P, Garth J, Fairchild M, Gaskin P, Zahid S, Castillo R, Edwards S, Widjaja A, Usui Y, Lynch E, Clarkson M, Detwiler T, Schriml LM.   +32 more
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

Workflow for Fine-Tuning and Evaluating DNA Language Models for Specific Genomics Issues. [PDF]

Bio Protoc
Nakamae K, Bono H.
europepmc   +1 more source

Physiologically‐based pharmacokinetic modelling of uridine 5′‐diphosphoglucorosultransferase (UGT) substrate drugs in pregnant women

British Journal of Clinical Pharmacology, EarlyView.
Aims While pregnancy‐related changes in phase I enzyme activity are well‐documented, less is known about the impact on phase II enzymes. This study aimed to test the hypothesis that changes in the pharmacokinetics (PK) of uridine 5′‐diphosphoglucuronosyltransferase (UGT) substrates during pregnancy result from altered enzyme expression or activity ...
William Saffaf, Ymke van der Velde, Paul R. V. Malik, Jelmer R. Prins, Sanne J. Gordijn, Daan J. Touw, Paola Mian   +6 more
wiley   +1 more source

igv-reports: embedding interactive genomic visualizations in HTML reports to aid variant review. [PDF]

Bioinformatics
Robinson JT, Thorvaldsdottir H, Mesirov JP.   +2 more
europepmc   +1 more source

Combining BulkFormer and TabPFN to predict post- transplant function from kidney biopsies during machine perfusion or cold storage

Tingle SJ, Kourounis G, Kazerouni S, Spiers HV, Larraz M, Mehta M, MacMillan S, Hosgood SA, Nicholson ML, Sheerin NS, Wilson CH.   +10 more
europepmc   +1 more source