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Chase Cockrell

Chase Cockrell

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 15 papers. Top paper: “Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models”.

Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models

SIMULATION(2020)10.1177/0037549720975075

N/A

0DataRank · unranked

16 citations

Jonathan Ozik, Nick Collier, Gary An, Chase Cockrell

Iterative community-driven development of a SARS-CoV-2 tissue simulator

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.02.019075

N/A

0DataRank · unranked

71 citations

Yafei Wang, Gary An, Maansi Asthana, Andrew Becker, Chase Cockrell +30 more

Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agent-Based Model of Systemic Inflammation

Frontiers in Physiology(2021)10.3389/fphys.2021.662845

N/A

0DataRank · unranked

27 citations

Gary An, Chase Cockrell

Comparative Computational Modeling of the Bat and Human Immune Response to Viral Infection with the Comparative Biology Immune Agent Based Model

Viruses(2021)10.3390/v13081620

N/A

0DataRank · unranked

14 citations

Gary An, Chase Cockrell

Comparative computational modeling of the bat and human immune response to viral infection with the Comparative Biology Immune Agent Based Model

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.29.450378

N/A

0DataRank · unranked

3 citations

Gary An, Chase Cockrell

Drug Development Digital Twins for Drug Discovery, Testing and Repurposing: A Schema for Requirements and Development

Frontiers in Systems Biology(2022)10.3389/fsysb.2022.928387

N/A

0DataRank · unranked

55 citations

Chase Cockrell, Gary An

Preparing for the next pandemic: Simulation-based deep reinforcement learning to discover and test multimodal control of systemic inflammation using repurposed immunomodulatory agents

Frontiers in Immunology(2022)10.3389/fimmu.2022.995395

N/A

0DataRank · unranked

8 citations

Dale Larie, Gary An, Chase Cockrell

Combination Chemotherapy of Multidrug-resistant Early-stage Colon Cancer: Determining Optimal Dose Schedules by High-performance Computer Simulation

Cancer Research Communications(2022)10.1158/2767-9764.crc-22-0271

N/A

0DataRank · unranked

3 citations

David Axelrod, Chase Cockrell

Preparing for the next COVID: Deep Reinforcement Learning trained Artificial Intelligence discovery of multi-modal immunomodulatory control of systemic inflammation in the absence of effective anti-microbials

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.17.480940

N/A

0DataRank · unranked

5 citations

Gary An, Chase Cockrell, Dale Larie

Preparing for the next Pandemic: Simulation-based Deep Reinforcement Learning to discover and test multimodal control of systemic inflammation using repurposed immunomodulatory agents

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.25.501428

N/A

0DataRank · unranked

1 citations

Dale Larie, Gary An, Chase Cockrell

Generating synthetic multidimensional molecular time series data for machine learning: considerations

Frontiers in Systems Biology(2023)10.3389/fsysb.2023.1188009

N/A

0DataRank · unranked

14 citations

Chase Cockrell, Gary An

Prediction of Long COVID Based on Severity of Initial COVID-19 Infection: Differences in predictive feature sets between hospitalized versus non-hospitalized index infections

medRxiv(2023)10.1101/2023.01.16.23284634

N/A

0DataRank · unranked

2 citations

Dale Larie, Sol Feuerwerker, Gary An, Chase Cockrell, Damien Socia

Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations

arXiv (Cornell University)(2023)10.48550/arxiv.2303.09056

N/A

0DataRank · unranked

1 citations

Chase Cockrell, Gary An

The Wound Environment Agent-based Model (WEABM): a digital twin platform for characterization and complex therapeutic discovery for volumetric muscle loss

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.04.595972

N/A

0DataRank · unranked

3 citations

Yoram Vodovotz, Rubén Zamora, Gary An, Chase Cockrell

A design specification for Critical Illness Digital Twins to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report: Foundational Research Gaps and Future Directions for Digital Twins

PubMed(2024)10.48550/arxiv.2405.05301

N/A

0DataRank · unranked

0 citations

Chase Cockrell, Gary An