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What is RAAPID?

For over 15 years, we have led the way in creating clinical NLP platforms and exploring their various applications, achieving remarkable levels of precision and accuracy in the process. Our primary expertise lies in accurately interpreting unstructured medical notes on a large scale, having tested our systems against billions of genuine clinical documents. We have developed AI that not only provides output but also elaborates with context, reasoning, and supporting evidence. Our NLP technology is enriched with over 4 million entities and more than 50 million relationships, thanks to the integration of extensive medical knowledge. By employing advanced Machine Learning (ML) and Deep Learning (DL) models, we have constructed a robust NLP framework built upon comprehensive ontologies and specialized clinician terminologies. This allows us to effectively comprehend, interpret, and extract meaningful insights from the often inconsistent and non-standard data present in medical records. Our clinical domain experts continuously enhance our NLP capabilities by integrating knowledge graphs that detail the connections between all clinical entities, ensuring our systems remain at the forefront of medical data interpretation. With this relentless pursuit of innovation, we are poised to shape the future of clinical NLP further.

What is Mesh Bio?

DARA is at the forefront of transforming clinical decision-making and intervention techniques through a foundation built on proven medical science and clear systems biology. By partnering with healthcare professionals and key stakeholders, we provide innovative digital solutions that significantly improve health screening processes and the management of chronic conditions. Our strategy promotes the digital advancement of healthcare delivery by automating clinical workflows and integrating predictive analytics, ensuring alignment with the highest clinical guidelines and best practices available. We empower physicians with valuable health insights derived from customized predictions regarding disease risks and possible adverse outcomes, enhancing their ability to engage with patients effectively. Furthermore, we contribute to the pharmaceutical sector by revealing pharmacodynamics within complex biological systems and identifying novel therapeutic pathways. The use of predictive analytics applied to extensive patient data enhances personalized precision medicine, particularly in the realm of cardiometabolic diseases, helping to prevent severe health crises. With our advanced tools, healthcare can transition to a more proactive and adaptable model, fostering significantly improved patient care and overall health results. As we continue to innovate, our commitment to advancing the quality of care remains unwavering, paving the way for future developments in health technology.

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

RAAPID INC

Date Founded

2022

Company Location

United States

Company Website

www.raapidinc.com

Company Facts

Organization Name

Mesh Bio

Company Location

Singapore

Company Website

meshbio.com

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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