AIMCancer: Automated Integration of Mechanisms in Cancer

Abstract

Our project has four main directions: (1) automation of executable model inference from several different resources (literature, experimental observations and data); (2) automated reasoning about modeled system via simulation and formal analysis of executable models; (3) acceleration of algorithms used in (1) and (2) in hardware; (4) design of Use case for the FRIES consortium end-to-end system and its testing with wet lab experiments. (More details on each direction provided the attached report.)

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Document Details

Document Type
Technical Report
Publication Date
Jul 14, 2018
Accession Number
AD1070755

Entities

People

  • Nataša Miškov-Živanov

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Computing
  • Biomedical Engineering
  • Cells
  • Computational Biology
  • Computational Science
  • Culture Techniques
  • Cultured Cells
  • Data Mining
  • Data Science
  • Feature Extraction
  • Genetics
  • Immune System
  • Lymphocytes
  • Simulators
  • Synthetic Biology
  • Systems Biology

Fields of Study

  • Computer science

Readers

  • Aquatic Ecology
  • Computational Modeling and Simulation
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems