BioSymetrics, Inc., a technology company that aims to transform data analytics for the biomedical industry, today announced the launch of its pre-processing and analytics platform, Augusta. Augusta is a proprietary technology that allows standardized processing and integration of multiple, diverse raw data types, facilitating rapid deployment of AI projects in precision medicine, drug discovery, and digital health data applications.
Currently, Augusta provides over 150 modules for the processing of raw genomic, metabolomic, MRI/fMRI, chemical, ECG/EEG, and EMR data, and subsequent analysis, all controlled through an automated optimization framework.
IDC reports that the Big Data and Analytics market will grow from $130B last year to more than $203B in 2020. Frost & Sullivan projects that the Machine Learning in Medicine market will reach $6B by 2021. Yet streaming data, real-time analytics, and machine learning will remain a significant challenge for the rapidly changing and data-rich biomedical space due to data variety/heterogeneity, lack of standards, and difficulty in scaling.
Specific benefits of the BioSymetrics offering include:
– Integrated analytics and machine learning solutions that can integrate large repositories of images, genomics data, streaming data, and compounds
– Modular and customizable pipelines for processing raw phenotypic, imaging, drug, and genomic data types using any combination of datasets
– Automated model optimization based on a proprietary parameter iteration method
– Scalable solution architecture for enterprise and cloud computing applications that can be deployed anywhere (cloud services such as Microsoft Azure, AWS; and private or local servers)
– Fully dockerized distributed infrastructure that eliminates the need for transfer of sensitive data
“When you work in Data Science, specifically in the health space, the major hurdles in analyzing data are not technological, they’re practical. We’ve seen this in our own work when developing diagnostic models for Autism and Alzheimer’s Disease, and were astonished at how much of our time was spent processing MRIs and other medical data before analytic projects could begin. We’ve sought to address this need by designing an easily deployable, automated pre-processing framework that can take multiple data types from source, process them, integrate them, and apply machine learning, all in a data-driven way,” said BioSymetrics’ Chief Scientific Officer, Gabriel Musso about Augusta in a statement.