ExSano is an advanced analytics company with a unique and powerful approach to solving the most difficult real-world datasets.
BRINGING CLARITY FROM COMPLEXITY
General Signature Extraction (GSE) is a powerful new AI/ML engine that extracts useful information from the most difficult, yet-all-too-common, real-world datasets: those that are sparse, noisy and/or diverse.
ExSano is pioneering a unique approach to solving problems that cannot be solved by others. There are multiple applications of these powerful capabilities including in healthcare and electronics. An overview of our products and the types of problems we are solving in healthcare are discussed below.
In healthcare, we are using the unmatched predictive power of GSE to address patient diversity by objectively grouping like patients together into more-uniform subgroups.
Provides subgroups automatically and without advanced knowledge
Subgroups reflect different disease mechanisms, and enable individualized treatment recommendations and more successful clinical trials
GSE leverages powerful techniques in electrical engineering and physics, and proprietary developments and enhancements, to analyze complicated noisy data systematically (including interactions) and without compromise.
INTRODUCING GSE
ExSano’s patented General Signature Extraction (GSE) addresses long-standing needs in healthcare – and in machine learning (ML)/artificial intelligence (AI) in general:
No Assumptions
Dramatically expands the feature space, so existing features are not excluded and new features are considered
No Constraints
Systematically and uniquely considers all
allowed interactions as part of the analysis
to extract key predictive features
Unique Results
Finds novel, improved predictive features that are often missed by other analysis techniques
SIGNIFICANT CLINICAL IMPACT
GSE works with a wide variety of data and is compatible with numerous ML/AI techniques. It provides targeted, predictive, transparent and actionable results.
Individualized treatment recommendations based on existing treatments for similar patients.
Impacts disease progression based on differences among similar patients.
More successful clinical trials by objectively indentifying enrollment criteria (responders/non-responders), exclusion criteria (placebo responders), and biomarkers for targeted treatment.
GSE provides game-changing capabilities for analyzing complicated real-world datasets. If you're working with data that is sparse, noisy and/or diverse, and have important problems to solve or opportunities to find, we believe you should be working with us.
