Biomarker Discovery

Labmatrix provides a centralized, tightly linked view into complex data, including molecular biomarker data. Biomarker studies requiring simultaneous analysis of multiple types of assay data such as pharmacogenomic, genotyping, proteomic or other molecular analytical or cell-based data necessitate the use of flexible systems which can accommodate new data types without additional programming. These datasets all too often reside in different applications or file directories with little integration, creating a bottleneck for extraction of higher scientific insights and downstream decision making.

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Translational Research

Translational Medicine

Labmatrix™ enables capture of all clinical, specimen, and downstream molecular analytical data, regardless of the therapeutic focus area, the types of specimens collected or assays conducted. A tightly linked system, data views include patient, study, or sample-centric, among others. Multi-modal, fine grained access control facilitates the integration of clinical and molecular research data in a single database by maintaining HIPAA compliance, enabling real-time collaboration across the bench-to-bedside divide.

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Genetic Research

Information management for genetic and hereditary disease studies adds a level of complexity beyond traditional clinical research in that family data must be captured and queried. Labmatrix™ is used by leading geneticists to capture all study data on each family member together with phenotype, genotype, clinical, specimen and molecular assay information, enabling seamless transition within an access-controlled framework to facilitate real-time global collaboration across multiple sites while maintaining HIPAA compliance.

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Upcoming Events

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Client Testimonials

Fancy!!! And self explanatory. I do not know if others need further explanation, but I'm good. - Labmatrix user and lab manager, after previewing a new release

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BioFortis, Inc. creates software solutions that empower average users (people with casual IT training) by making relevant data more easily accessible to them.