Behavioral science and data analytics on population health data and other types of data (e.g., wearables) to identify health risks, trends, inefficiencies, vulnerable populations, patient subgroups, and investigate potential population-wide interventions (e.g., nudge theory).
Development of AI clinical decision support systems based on clinical data and other types of information obtained from various sources and/or computer simulations.
Efficient processing of large data sets with the use of advanced computing infrastructures and deployment of computing solutions at the point of care.
Multidisciplinary research at the interface of computing, information technology, behavioral science, human-computer interaction, and AI, focused on healthcare workflows, patient data management, data visualization, interaction and communication applied to on-site and remote medicine.
The human gut microbiome is a complex, diverse and dynamic ecosystem important to health. Primarily, we study it using multi-omics techniques, especially metagenomics. From it, we obtain DNA reads which give us information about the identity and relative proportions of all forms of life inhabiting our gastrointestinal tracts.
We want to be eyes and ears for medicine. Thus we investigate all significant problems to provide future healthcare with the most innovative technologies to solve them. We do every project with passion, which we share and enjoy together, valuating in the same time our diversity in ideas and perspectives, and integrity in love for science.
