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What is Scilligence RegMol?

RegMol, developed by Scilligence, serves as an all-encompassing database tailored for the registration of entities and bioassays, catering to a diverse range of entities. This intuitive platform streamlines the centralized handling of protocols and assay details, significantly improving collaboration on research and development initiatives. By utilizing our powerful data mining capabilities, which include searches based on chemical structures, HELM, and biosequences, RegMol equips researchers with the tools they need to make insightful, data-informed choices. We are firm believers in the idea that collaborative efforts yield the best outcomes, which inspired us to create a resource that facilitates knowledge and resource sharing among peers globally. Acknowledging the hurdles of managing the extensive datasets crucial for pioneering discoveries, our electronic lab notebook (ELN) offers a flexible web-based environment for efficiently organizing and retrieving unstructured data. Furthermore, our advanced search and indexing functions empower researchers to navigate through large volumes of unstructured information, guaranteeing that critical insights are captured. Ultimately, our mission is to transform the research landscape by ensuring that data is readily available and actionable for all participants, thereby fostering a more innovative and efficient scientific community. With this aim, we continuously enhance our offerings to better serve the needs of researchers everywhere.

What is Ember?

Transform your scattered health information into a cohesive and accessible format with an interactive AI and NLP platform that delivers critical health insights for a diverse range of stakeholders. This cutting-edge technology benefits Providers by expediting the data abstraction process and validating clinical information within notes, which in turn reduces the time and expenses linked to pinpointing care gaps, evaluating care quality through dashboards, and generating registry reports. For Payers, it enhances the integration and analysis of claims data alongside clinical notes, thereby improving the management of high-risk and high-cost member populations. In the Life Sciences sector, this solution accelerates patient matching for clinical trials by utilizing both databases and clinical note data, effectively tapping into the potential of real-world clinical evidence. Ember seamlessly combines NLP with predictive analytics, optimizing healthcare analytics for unstructured data to enhance quality, efficiency, and outcomes throughout the healthcare system. Consequently, stakeholders are empowered to make well-informed decisions that not only elevate patient care but also optimize resource allocation for better healthcare delivery. Ultimately, this holistic approach fosters a more connected and efficient healthcare ecosystem.

Media

Media

Integrations Supported

Chromosis CRM
CodeKeep
Dragit
nTireLegal

Integrations Supported

Chromosis CRM
CodeKeep
Dragit
nTireLegal

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

Scilligence

Date Founded

2001

Company Location

United States

Company Website

www.scilligence.com

Company Facts

Organization Name

MetiStream

Company Location

United States

Company Website

www.metistream.com

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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