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What is Unlearn?

Advancing artificial intelligence to eliminate the necessity for trial and error in healthcare, our digital twins enable rapid and reliable clinical trials. We prioritize research in fields such as neuroscience, immunology, and metabolic disorders, among others. TwinRCTs accelerate full enrollment by requiring fewer participants to achieve the same statistical power as traditional trial methods. This innovative strategy drastically cuts down on the time needed for late-stage study enrollment. Furthermore, TwinRCTs improve the detection of treatment effects in early-stage research by increasing statistical power without needing more participants. They allow researchers to make well-informed decisions based on initial findings and assist in attracting additional participants to clinical trials. By utilizing smaller control groups, TwinRCTs also enhance the likelihood of participants receiving the experimental treatment. Our dedication to ensuring that clinical trials with digital twins achieve regulatory approval remains steadfast. Unlearn is leading the charge in revolutionizing the healthcare industry through the pioneering use of artificial intelligence, crafting and applying cutting-edge generative models that utilize extensive datasets gathered from prior patient studies. This shift in methodology not only optimizes research efficiency but also significantly improves the effectiveness of clinical trials. The future of medicine is being reshaped as we continue to refine these innovative approaches.

What is Azure Digital Twins?

Azure Digital Twins serves as an IoT platform enabling the creation of digital replicas of physical entities, spaces, processes, and people. This innovative platform yields critical insights that can significantly improve product development, optimize operational efficiency, lower costs, and enhance customer satisfaction. It provides an intuitive framework for crafting digital representations of interconnected settings using a flexible modeling language. Users can model a wide variety of entities, including buildings, manufacturing plants, agricultural fields, energy systems, transportation networks, sports facilities, and even entire cities. These digital twins come alive in a dynamic execution environment that monitors changes over time. By utilizing powerful query APIs, users can glean actionable insights into the behaviors of their modeled environments and easily integrate with Azure's data analytics services. The open modeling language allows for the creation of customized domain models tailored to any connected setting through the Digital Twins Definition Language, ensuring adaptability across various applications. Thus, Azure Digital Twins not only supports business innovation but also enables organizations to adjust effectively in an ever-evolving digital landscape, making it an invaluable tool for modern enterprises.

Media

Media

Integrations Supported

Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure

Integrations Supported

Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure

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

Unlearn

Company Location

United States

Company Website

www.unlearn.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/digital-twins

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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