grant
Data-driven and science-informed methods for the discovery of biomedical mechanisms and processes
Organization UNIVERSITY OF COLORADOLocation Boulder, UNITED STATESPosted 25 Sept 2023Deadline 31 Aug 2028
NIHUS FederalResearch GrantFY2025BiochemicalBiologicalCOVID-19CV-19Cell BodyCell LocomotionCell MigrationCell MovementCellsCellular MigrationCellular MotilityClassificationClimateCollaborationsCommunicable DiseasesComplexCoronavirus Infectious Disease 2019CouplingDataDecision MakingEpidemiologistEquationGenerationsGoalsIndividualInfectionInfectious DiseasesInfectious DisorderLeadLearningMeteorological ClimateMethodologyMethodsModelingMotionNoiseNon-linear DynamicNon-linear DynamicsNonlinear DynamicNonlinear DynamicsOrganismPb elementProcessRecoveryResearchRoboticsScienceSeminalSystemSystematicsTextWound Repairbiologiccell motilitycell typeclimaticcoronavirus disease 2019coronavirus disease-19coronavirus infectious disease-19data-driven modeldynamic systemdynamical systemexperimentexperimental researchexperimental studyexperimentsheavy metal Pbheavy metal leadlaptoplearning activitylearning methodlearning strategieslearning strategyliving systemmembermigrationnovelpublic health relevancesuccesstimelinewound healingwound recoverywound resolution
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Abstract Text
Data-driven discovery methods are a novel class of methodologies and computational approaches, revolutionizing the modeling, prediction, and control of complex systems, while remaining scientifically explainable and interpretable. These methods learn governing equations directly from data and have found considerable success in a wide…
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