A biokinetic model calibrated on 56 clinical datasets predicts patient-specific radiation-induced lymphopenia and quantifies a 30 percent reduction in lymphocyte depletion with particle therapy versus photon therapy.
Radiation Adverse Outcome pathways (AOPs): examining priority questions from an international horizon-style exercise
2 Pith papers cite this work. Polarity classification is still indexing.
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AOP-Wiki EMOD 3.0 introduces data model expansions and a content evaluation framework to enhance integration of Adverse Outcome Pathways with New Approach Methodologies using agentic AI.
citing papers explorer
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Model-aided quantification of patient-specific benefit in mitigating radiation induced lymphopenia by particle therapy of cancer
A biokinetic model calibrated on 56 clinical datasets predicts patient-specific radiation-induced lymphopenia and quantifies a 30 percent reduction in lymphocyte depletion with particle therapy versus photon therapy.
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AOP-Wiki EMOD 3.0: Data Model Expansions and Content Evaluation Framework for Using Agentic AI to Improve Integration between AOPs and New Approach Methodologies (NAMs)
AOP-Wiki EMOD 3.0 introduces data model expansions and a content evaluation framework to enhance integration of Adverse Outcome Pathways with New Approach Methodologies using agentic AI.