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AI-Aristotle: A physics-informed framework for systems biology gray-box identification

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011916Source: DataRank Database

AI-Aristotle: A physics-informed framework for systems biology gray-box identification is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 53 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access53 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (27)IDs (PubMed, PMC)

FAIR Checklist

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Mario De Florio ORCID,Khemraj Shukla ORCID,George Em Karniadakis ORCID,Nazanin Ahmadi Daryakenari ORCID

Live enrichment

PubMed:38470870 PMC:PMC10931529

National Institutes of Health

Grant: R01HL154150

Office of Naval Research

Grant: N00014-22-1-2795

National Institutes of Health

Grant: 5R01HL154150-04

Multifidelity and multiscale modeling of the spleen function in sickle cell disease with in vitro, ex vivo and in vivo validations

goldLicense: cc-by

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011916&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1011916

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10931529/pdf/pcbi.1011916.pdf

Europe_PMChttps://europepmc.org/articles/PMC10931529

Europe_PMChttps://europepmc.org/articles/PMC10931529?pdf=render

Fields of Study

0301 basic medicine02 engineering and technology03 medical and health sciences0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Systems BiologyPhysicsMachine LearningNeural Networks, Computer

Keywords

FOS: Computer and information sciencesComputer Science - Machine Learning37N25 (Primary), 34-04 (Secondary)QH301-705.5Computer Science - Artificial IntelligencePhysicsSystems BiologyG.1.7Quantitative Biology - Quantitative MethodsI.2.0Machine Learning (cs.LG)G.1.7; I.2.0Machine LearningArtificial Intelligence (cs.AI)FOS: Biological sciencesNeural Networks, ComputerBiology (General)Quantitative Methods (q-bio.QM)Research Article