Healthcare providers and life sciences companies are increasingly required to satisfy stakeholders’ increased expectation of personalized health outcomes. Higher degrees of personalization also generate efficiencies and increase effectiveness of diagnostics and treatments, aspects welcomed by all healthcare systems globally.
Microbiome analysis has a key role in target therapeutics and healthcare: microbiome-driven dynamics are in fact involved in a variety of processes such as chronic diseases, pregnancy, infection, immune system, metabolism, also influencing the different response of individuals to therapies and food.
Microbiome analysis requires a combination of advanced computational methods from bioinformatics, data mining, and machine learning and IT computational power, a set of skills not common to all microbiome-data users. The demand has in fact revolutionized much faster than current bioinformatics technologies.
MICK (previously GAIA-Health) is a microbiome data analysis solution that combines and interprets data in a completely new way, to maximize user experience and reveal business opportunities based on needs that were previously unrecognized. Thanks to a pain-free use of microbiome data, MICK makes users maximize the competitive advantage for their products and services, by making precision medicine accessible as never before.
The award of the SME Phase 1 has been pivotal to help us conduct technical and market feasibility of our product- by means of pilot testing with interested private and public stakeholders- as well as to develop a multi-channel global marketing strategy to leverage on MICK high scalability potential .
As a result of the high interest received worldwide for our product and a positive assessment of its technical feasibility , we believe that the development of MICK is now a main strategic objective, aimed not only at ensuring a scalable company growth, but also making us a key player in delivering affordable and precision health outcomes, advancing lifelong health goals for all.
