Developing Software for Pharmacodynamics and Bioassay Studies

Abstract

The objective of the project is to develop a software system to process general pharmacologic, toxicological, or other biomedical research data that exhibit a non-monotonic dose-response relationship - for which the current parametric models fail. The software will analyze dose-response relationships using both monotonic and non-monotonic data. This will have significant effects on the prevention and treatment of injuries and diseases of soldiers and civilians. Military agencies, government agencies, and private sponsors will be benefited from new and improved approaches to analyze the general pharmacologic, toxicological, or other biomedical research data that exhibit a non-monotonic dose-response relationship for which the existing parametric models fail. We understand that the difference between monotonic and non-monotonic doses and responses can impact patient response and recovery. If existing and proposed methods for the study of the relationship between dose and response can be effectively implemented and compared, it will enable us to uncover important dose-response features (e.g., drug resistance or virus mutation) in response to viral infection or treatment evaluation based on experimental/clinical trial data.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2018
Accession Number
AD1052104

Entities

People

  • Hua Liang
  • Larry Liu

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Bioassay
  • Biomedical Research
  • Clinical Trials
  • Data Sets
  • Databases
  • Electronic Mail
  • Environmental Health
  • Health Services
  • Information Science
  • Language
  • Medical Personnel
  • Public Health
  • Simulations
  • Software Design
  • Software Development
  • Standards

Fields of Study

  • Medicine

Readers

  • Computational Fluid Dynamics (CFD)
  • Defense Technology Research and Development.
  • Molecular and Cellular Biology

Technology Areas

  • Biotechnology