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Breaking down data silos to power the discovery of answers for patients with cancer

Syapse Raydar is a complete data platform that advances Real-World Care

Transforming data into actionable insights   

Billions of highly contextual, clinically complex oncology data points are scattered throughout a multitude of sources, and are rarely in the same format or coding language. Yet, this data is mission critical to answer questions that improve patient outcomes. 
Syapse Raydar is a complete real-world data platform designed through the union of technology, deep clinical understanding, regulatory expertise, and rigorous quality control. Raydar ingests disparate data, normalizes and transforms it into critical insights. 
Now, life sciences and health systems have access to comprehensive data to power the fight against serious disease.
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Data-agnostic
Ingests and transforms structured and unstructured data points from any source, in any format
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Multi-sourced
Creates a traceable, longitudinal view of the complete patient journey through direct, multi-sourced data integrations
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Secure
Ensures patient data is de-identified and secure for applications and users
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Raydar produces accurate healthcare insights 

Mortality (300 × 200 px) (2)
Research presented at ASCO 2022
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Published research from JCO Clinical Cancer Informatics 2021
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Published research from JCO Clinical Cancer Informatics 2021

Illuminating the patient journey 

Syapse Raydar's proprietary capabilities are powered by groundbreaking technologies and deep clinical understanding to transform clinically complex, highly contextual data into a more complete and accurate understanding of the patient journey. 
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Raydar Interoperability 

Enables the ability to ingest and aggregate structured and unstructured data from any source, in any format. 
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Raydar Knowledge Management Services 

Supports the transformation of complex and often inconsistent data into high-quality and accurate information.
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Raydar AI

Leverages the power of natural language processing (NLP) and machine learning (ML) to enable the broad, consistent, and thorough transformation of data. 
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Raydar Algo

Extends source data to support a broad array of complex concepts and research use-cases, illuminating the entire patient journey — and helping to save lives.

Let's chat about Raydar