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Description
By leveraging visual analytics through TIBCO Spotfire®, PerkinElmer Signals Translational offers a comprehensive suite of tools designed to harmonize, manage, search, aggregate, and analyze extensive datasets consistently for translational research, all while ensuring scalability. This platform, driven by TIBCO Spotfire®, supports precision medicine initiatives by providing an unparalleled solution for biomarker discovery and patient stratification. The Linear Mixed Effect App (LME) within Signals Translational empowers researchers to evaluate the influence of various factors on specific phenotypes, allowing for adjustments related to random variables during analysis. Furthermore, it enables the identification of genes significantly affecting cancer stage progression, irrespective of patient origins. Notably, the LME models excel at addressing issues such as missing values and outliers, making them a robust choice for discovering potential biomarkers. Consequently, the integration of these advanced analytics tools enhances the efficacy of translational research in identifying key biomarkers that can lead to more personalized treatment approaches.
Description
Truveta operates as a health data and analytics platform focused on leveraging information to enhance patient lives. By consolidating de-identified electronic health records from more than 30 healthcare systems, it provides researchers with access to a rich array of patient data, which includes clinical notes, imaging, and genomic information. This vast repository represents data from upwards of 120 million patients, giving a well-rounded perspective on healthcare delivery throughout the United States. The Truveta Studio, which serves as the platform's analytics hub, equips researchers with sophisticated tools like notebooks and dashboards, all maintained within a secure and HIPAA-compliant framework. With daily updates to its data, the platform guarantees that insights into patient care and outcomes are both current and relevant. Furthermore, Truveta's dedication to data integrity is showcased by its implementation of the Truveta Language Model, an advanced AI framework that efficiently translates EHR data into precise and reliable data points for the advancement of medical research. This commitment not only enhances research capabilities but also fosters a deeper understanding of healthcare trends and patient needs, ultimately contributing to improved health outcomes.
API Access
Has API
API Access
Has API
Integrations
Signals Research Suite
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PerkinElmer
Founded
1937
Country
United States
Website
perkinelmerinformatics.com/products/clinical-translational/signals-translational/
Vendor Details
Company Name
Truveta
Founded
2020
Country
United States
Website
www.truveta.com