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Leveraging In Silico and Artificial Intelligence Models to Advance Drug Disposition and Response Predictions Across the Lifespan

Clinical and Translational Science(2025)10.1111/cts.70272Source: DataRank Database

Leveraging In Silico and Artificial Intelligence Models to Advance Drug Disposition and Response Predictions Across the Lifespan is a research paper published in Clinical and Translational Science (2025). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access11 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 10.23)OA: goldTopics (30)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Daniel González ORCID,Jeffrey L. Woodhead,Pallavi Bhargava,Murali Ramanathan ORCID,Kyunghee Yang ORCID

Live enrichment

PubMed:40539740 PMC:PMC12180087 OpenAlex:https://openalex.org/W4411469847

FWCI

10.23

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cts.70272

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cts.70272

publisherhttps://ascpt.onlinelibrary.wiley.com/doi/pdf/10.1111/cts.70272

journalhttps://doi.org/10.1111/cts.70272

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40539740

Fields of Study

Pharmacogenetics and Drug MetabolismPharmaceutical studies and practicesStatistical Methods in Clinical Trials

MeSH Terms

Machine LearningAgedArtificial IntelligenceChildComputer SimulationFemaleHumansLongevityModels, Biological

Keywords

Physiologically based pharmacokinetic modellingDrugIn silicoDispositionClinical trialMedicineDrug developmentDosingPharmacologyPharmacokineticsComputer scienceBiologyPsychologyPathologyMLclinical pharmacologyAIReal‐world Data