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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 Reema?

Our Guides utilize a cutting-edge digital platform complemented by distinctive data models to engage with elusive members and foster ongoing interaction. By attentively listening to their needs and communicating in relatable ways, Guides effectively inspire and motivate individuals. Members gain the advantage of having a reliable companion and a knowledgeable ally equipped with the insights and resources necessary to help them overcome challenges. Reema is regarded as an AI-enhanced confidant, available via text 24/7. By leveraging insights from our data models, the Guides tailor messages to reach the right individuals at the most impactful times, using the most suitable communication styles. This strategy enables Reema to blend authentic human interaction with automated functions, achieving both personalization and scalability. Through the integration of public data and our exclusive engagement metrics, Reema's data engine anticipates which members may be at risk, allowing Guides to take proactive measures and prevent costly healthcare interventions by connecting with those who might feel isolated. This deliberate engagement approach not only changes lives over time but also promotes better health outcomes for members. Moreover, the combination of advanced technology and genuine human connection cultivates a robust support system that facilitates significant transformation in the lives of those we serve. In this way, Reema not only supports individual needs but also contributes to a broader vision of community health improvement.

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

Reema Health

Company Location

United States

Company Website

www.reemahealth.com/solutions

Categories and Features

Categories and Features

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