Integrated Data Framework

Biosymetrics Inc. has built the state-of-the-art AugustaTM platform that allows rapid and effective integrated analytics and Machine Learning (ML) on many different kinds of biomedical and healthcare data types. Our AI ML platform capabilities include over 140 data modules that can be leveraged in data science and predictive analytics initiatives.

The Machine Learning engine, SymetryML allows users to process more data at a faster rate in medical research and healthcare applications.

Notable features of Augusta include:

  • Modular and customizable pipelines for processing imaging (MRI/fMRI), drug design, EHR/EMR, and genomic/proteomic data sets, allowing analysis using any combination of data types
  • Workflows optimized for each specific experiment, aimed at maximizing accuracy and performance
  • Easy integration into existing business processes
  • Real-time machine learning of massive data at unprecedented speeds through integration with SymetryML

BioSymetrics delivers a customized massive data analytics and machine-learning infrastructure for biomedical and health data, which includes the following features:

  • Modular and customizable Python-based pipelines for processing phenotypic, imaging, drug, and genomic data sets using any combination of data types within any framework (cloud, diagnostic machines, private servers)
  • Integration with SymetryMLTM, our Java based real-time machine learning technology
  • Construction of customized clusters for performance optimization
  • Delivery and distribution using Apache Spark of processing jobs using different types of clusters (e.g. Sun Grid Engines, Spark Clusters)
  • Management of results using a distributed storage infrastructure (e.g. Cassandra, SQL, HDFS, Hive)
  • Connection to Apache Kafka to retrieve and organize streaming data
  • Workflows optimized for each specific experiment, aimed at maximizing accuracy and performance
  • Seamless integration into existing business processes