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
Case Study: Lead Compound Generation using Augusta™
CASE STUDY: Machine learning for activity prediction, as part of lead compound generation The Challenge: The ability to quickly iterate multiple large feature sets with the flexibility to test models…Read More
Case Study: BioSymetrics Identifies $5Million in Savings for Healthcare Network
Feature Engineering of Electronic Medical Records
A comprehensive overview of data cleaning and feature engineering techniques for clinical dataRead More
AI in Pharma Summit, Boston Oct-9
Gabe Musso, Chief Science Offer will be speaking at the AI in Pharma summit in Boston on October 9th. His unique perspective on data management in drug discovery and clinical trials will try to wrestle with the timeless question on how to manage and process fragmented data.Read More