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What is SpliceCore?

Utilizing RNA sequencing (RNA-seq) data in conjunction with Artificial Intelligence offers both an essential need and a remarkable opportunity for developing therapies that target splicing errors. By harnessing machine learning techniques, we can identify new splicing errors and promptly create therapeutic compounds to rectify these issues. Our specialized AI platform, SpliceCore, is dedicated to the discovery of RNA-based therapeutics. This advanced technology excels in analyzing RNA sequencing data with exceptional speed and accuracy. It effectively identifies, assesses, and confirms potential drug targets, surpassing conventional methods in efficiency. A key feature of SpliceCore is our proprietary database, which houses over 5 million potential RNA splicing errors, making it the largest resource of its type worldwide and vital for evaluating any RNA sequencing dataset submitted for analysis. The incorporation of scalable cloud computing enables us to manage extensive RNA sequencing data efficiently and economically, thereby accelerating the development of new therapies. This groundbreaking strategy is set to transform the field of RNA therapeutics, paving the way for unprecedented advancements in treatment options. As we move forward, the potential for discovery in this domain continues to expand, promising a future filled with innovative solutions.

What is Kanteron?

The Kanteron Platform integrates a diverse collection of medical images, digital pathology slides, genomic data, and patient details sourced from multiple modalities, scanners, sequencers, and databases, providing a rich data toolkit for teams across hospital networks. It particularly focuses on pharmacogenomics to prevent adverse drug reactions and supports the implementation of precision medicine at the point of care by merging previously cumbersome data on drug-gene interactions, which were often limited to less accessible formats like tables in PDF files. By leveraging key pharmacogenomic resources such as PharmGKB, CGI, DGIdb, and OpenTargets, the platform allows users to tailor their queries based on specific gene families, interaction types, and drug classifications. Moreover, its flexible AI capabilities enable users to choose the dataset that best suits their unique requirements, applying it effectively to relevant medical images. This comprehensive functionality significantly improves the accuracy of medical interpretations while promoting a more individualized approach to patient treatment. Furthermore, by bridging the gap between complex data and clinical application, the Kanteron Platform empowers healthcare professionals with the tools they need to make informed decisions.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Envisagenics

Date Founded

2014

Company Location

United States

Company Website

www.envisagenics.com/platform/

Company Facts

Organization Name

Kanteron Systems

Date Founded

2005

Company Location

Spain

Company Website

www.kanteron.com/platform

Categories and Features

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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