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Description

AI plays a crucial role in identifying early-stage cancers, facilitating prompt interventions that enhance survival prospects. Cancer's intricate nature means that each type carries distinct characteristics, packed with extensive data that requires thorough analysis. This is where AI excels, leveraging its capabilities to process complex information, ultimately revealing insights that can significantly aid in cancer treatment strategies. Equipped with precise and relevant data, we take proactive steps in our battle against cancer. By utilizing AI, we are poised to make substantial strides in overcoming this disease. Our AI technology is designed to detect early-stage cancer with remarkable accuracy, achieving detection rates between 97-99%. It proficiently identifies ten of the most prevalent abnormalities found in chest x-rays, thus enhancing one of the most fundamental diagnostic tools. This innovation not only streamlines the radiology workflow but also alleviates the workload for radiologists. Lunit INSIGHT CXR successfully encompasses a wide range of findings, ensuring that we are prepared to tackle the challenges presented by cancer detection and treatment. The future of cancer care looks promising with AI at the forefront of these advancements.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Signals Research Suite No 

Integrations

Signals Research Suite Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Lunit

Country

United States

Website

www.lunit.io/en

Vendor Details

Company Name

PerkinElmer

Founded

1937

Country

United States

Website

perkinelmerinformatics.com/products/clinical-translational/signals-translational/

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Product Features

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