BioSymetrics software empowers healthcare and biomedical R&D innovation.
We created the first biomedical specific machine learning framework to increase precision, shorten timelines, and improve discovery.
The Augusta™ software platform significantly improves time-to-market and drives innovation. Augusta 2.0 enables data scientists to automate the tasks of pre-processing and management of disparate data, with integrated analysis, feature engineering, and predictive modeling in a single, easy-to-use framework.
Biopharma, Pharmaceutical, and CRO’s can rapidly leverage the power of AI and ML to enable lead compound discovery and trials. Easy to deploy, the Augusta™ framework enables faster pre-processing and model interrogation.
Utilize advanced artificial intelligence to classify subpopulations and tailor medical treatment to individual characteristics. The Augusta™ platform analyzes and draws inferences from vast amounts of data points, improving quality of patient care, enabling cost-effectiveness, reducing readmissions and mortality rates.
Hospitals, healthcare systems, and medical groups can improve institutional operations, finance and research programs. Applying machine learning (ML) to EMR’s, billing, admissions, radiology, cardiology, neurology, oncology and obstetrics (to name a few).
We offer turnkey services to our clients and corporate partners, with the aim of assisting organizations and teams in getting the greatest benefit from their data science initiatives. Our track record in massive data analytics including machine learning has been recognized with industry awards and conference speaking opportunities, and ties to our insight and knowledge base about the complexities in biomedical AI.
BioSymetrics services are available in several different ways, from our comprehensive technology solution implementations formalized in licensing agreements, to CRO consulting engagements and ad hoc projects.
Recent Blog Posts
Gabe Muso, Chief Science Officer, BioSymetrics speaks with Rafael Rosengarten CEO of Genialis on the practice of improving data preprocessing for the advancement of machine learning in medicine.
New video explains how BioSymetrics improves machine learning processes by integrating pre-processing, and machine learning through Augusta™ Architect. The full product description is available at: Augusta™ Machine Learning Framework
A daughter’s desire to please her parents demonstrates how a data scientist with good intentions can cause far more harm and expense in the long run, through the selection and creation of the wrong features during data pre-processing.