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Mathematical Biosciences and Engineering : MBE
|
December 31, 2020
Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data
Nick Henscheid
Plos One
|
June 30, 2018
Physiological random processes in precision cancer therapy
Nick Henscheid, Eric Clarkson, Kyle J Myers, et al.
Clinical and Translational Science
|
March 11, 2025
A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications
Matthew Wiens, Alissa Verone-Boyle, Nick Henscheid, et al.
Clinical Pharmacology and Therapeutics
|
June 16, 2023
T1dCteGui: A User-Friendly Clinical Trial Enrichment Tool to Optimize T1D Prevention Studies by Leveraging AI/ML Based Synthetic Patient Population
Mike Pauley, Nick Henscheid, Sarah E David, et al.
Clinical and Translational Science
|
May 29, 2024
Accelerating healthcare innovation: the role of Artificial intelligence and digital health technologies in critical path institute's public-private partnerships
Jagdeep T Podichetty, Sakshi Sardar, Nick Henscheid, et al.
Clinical and Translational Science
|
December 4, 2025
How AI Transforms Regulatory Submission: Current Clinical Implementation and Future Prospects
Jagdeep T Podichetty, Anna-Marika Bauer, Rachel Xu, et al.
Pediatric Research
|
March 6, 2024
Publication Recommendations to Report Laboratory Data of Neonates - a Modified Delphi Approach
Zoë Vander Elst, Heidrun Hildebrand, Mary A Short, et al.
Mathematical Biosciences and Engineering : MBE
|
September 29, 2020
A tutorial review of mathematical techniques for quantifying tumor heterogeneity
Rebecca Everett, Kevin B Flores, Nick Henscheid, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Mathematical Biosciences and Engineering : MBE
|
December 31, 2020
Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data
Nick Henscheid
Plos One
|
June 30, 2018
Physiological random processes in precision cancer therapy
Nick Henscheid, Eric Clarkson, Kyle J Myers, et al.
Clinical and Translational Science
|
March 11, 2025
A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications
Matthew Wiens, Alissa Verone-Boyle, Nick Henscheid, et al.
Clinical Pharmacology and Therapeutics
|
June 16, 2023
T1dCteGui: A User-Friendly Clinical Trial Enrichment Tool to Optimize T1D Prevention Studies by Leveraging AI/ML Based Synthetic Patient Population
Mike Pauley, Nick Henscheid, Sarah E David, et al.
Clinical and Translational Science
|
May 29, 2024
Accelerating healthcare innovation: the role of Artificial intelligence and digital health technologies in critical path institute's public-private partnerships
Jagdeep T Podichetty, Sakshi Sardar, Nick Henscheid, et al.
Clinical and Translational Science
|
December 4, 2025
How AI Transforms Regulatory Submission: Current Clinical Implementation and Future Prospects
Jagdeep T Podichetty, Anna-Marika Bauer, Rachel Xu, et al.
Pediatric Research
|
March 6, 2024
Publication Recommendations to Report Laboratory Data of Neonates - a Modified Delphi Approach
Zoë Vander Elst, Heidrun Hildebrand, Mary A Short, et al.
Mathematical Biosciences and Engineering : MBE
|
September 29, 2020
A tutorial review of mathematical techniques for quantifying tumor heterogeneity
Rebecca Everett, Kevin B Flores, Nick Henscheid, et al.
Page
of 1