LAS: A Software Platform to Support Oncological Data Management

Elena Baralis, Andrea Bertotti, Alessandro Fiori, Alberto Grand

Research output: Contribution to journalArticlepeer-review


The rapid technological evolution in the biomedical and molecular oncology fields is providing research laboratories with huge amounts of complex and heterogeneous data. Automated systems are needed to manage and analyze this knowledge, allowing the discovery of new information related to tumors and the improvement of medical treatments. This paper presents the Laboratory Assistant Suite (LAS), a software platform with a modular architecture designed to assist researchers throughout diverse laboratory activities. The LAS supports the management and the integration of heterogeneous biomedical data, and provides graphical tools to build complex analyses on integrated data. Furthermore, the LAS interfaces are designed to ease data collection and management even in hostile environments (e.g., in sterile conditions), so as to improve data quality.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalJournal of Medical Systems
Publication statusAccepted/In press - 2012


  • Biological data management
  • Data integration
  • Web application

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Medicine (miscellaneous)
  • Information Systems


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