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.

LAS: a software platform to support oncological data management / Baralis, ELENA MARIA; Bertotti, A.; Fiori, Alessandro; Grand, Alberto. - In: JOURNAL OF MEDICAL SYSTEMS. - ISSN 0148-5598. - ELETTRONICO. - 36:1(2012), pp. 81-90. [10.1007/s10916-012-9891-6]

LAS: a software platform to support oncological data management

BARALIS, ELENA MARIA;FIORI, ALESSANDRO;GRAND, ALBERTO
2012

Abstract

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.
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Descrizione: Published in Journal of Medical Systems, November 2012 (Online version), Springer Science+Business Media New York
Tipologia: 2. Post-print / Author's Accepted Manuscript
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2502973
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