Automated Data Exploration.
AutoDiscovery is an intelligent automated exploratory data analysis software that helps biomed researchers unveiling complex relationships hidden in the data files of scientific experiments and clinical trials.
For Researchers. By Researchers.
Innate Immune Response. COVID 19. A Fruitful Collaboration >>
With the outbreak of the pandemic in 2020, the IdiPAZ Innate Immune Response group, led by Dr. Eduardo López-Collazo, decided to start a project focusing on the immune system of COVID-19 patients.
In collaboration with the emergency service of Hospital La Paz (Madrid, Spain), we began to collect samples from patients as soon as they arrived at the emergency admission.
The main objective of the work was to recognize early markers of the disease that are associated with the final evolution of the patient.
Microbiology. ICU.
A Fruitful Collaboration >>
The main objective was to evaluate the potential associations between clinical/epidemiological data and genetical microbial features in a cohort of patients under mechani-cal ventilation and isolation of Staphylococcus aureus in the respiratory tract.
Anatomic Pathology. Uveal Melanoma.
A Fruitful Collaboration >>
One of the goals of this study was to assess how the immunohisto-chemical expression of the markers that are part of the signaling act as independent predictors of the risk of metastasis or variables of global survival.
Butler Scientifics is a proud member of Advance(CAT) platform which gathers the efforts and expertise of 18 catalan institutions, both public and private, to speed up the conversion of advanced therapies from the idea to the product.
This work has been developed with the support of ACCIÓ (Agència per la Competitivitat de l'Empresa; Generalitat de Catalunya) under the Catalonian ERDF operational program (European Regional Development Fund) 2014-2020.
Customers & Collaborators
What's In It For Me?
Smart Exhaustivity
AutoDiscovery automatically evaluates the proper statistical tests to assess the relationships between every combination of variables at every individual subset of your data.
x10 times faster, x200 times wider analysis.
Biomed-Specific
Cause-effect potential, false discovery rates, small-complex data, groups and treatments and traceability of results are common biomed research needs specifically covered by AutoDiscovery
PI-Convenient
AutoDiscovery is targeted to Principal Investigators with very little time for data analysis and limited statistical knowledge focused on productive, high impact research.
5 Reasons To Use AutoDiscovery
Unveil high potential (exploratory) and significance (confirmatory) associations.
AutoDiscovery uses traditional statistical methods and standard Excel files.
From data consolidation to exploration of results in less than 10 clics.
Try out our technology for free or let us deal with your data for a proof of concept.
