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What is iTwin?

Integrating the necessary data for digital twins can be quite challenging, particularly when faced with differing formats and a variety of sources from multiple vendors. The processes of creating, visualizing, and analyzing digital twins should ideally be straightforward. As engineers committed to innovative solutions, we have designed software that tackles some of the toughest challenges in the infrastructure industry. By integrating engineering data alongside real-time and IoT information, we are able to produce a captivating 3D or 4D immersive experience. This methodology fosters a deeper understanding of infrastructure assets while unlocking the potential inherent in digital data, which can lead to significant advancements. Our solutions arm organizations with the digital tools required to thrive in today’s competitive landscape. Digital twins serve as dynamic digital representations of physical assets, processes, or systems, allowing for a thorough analysis and modeling of their performance. Unlike traditional static 3D representations, digital twins continuously update with data from diverse sources, significantly boosting their accuracy and effectiveness. Adopting this technology not only enhances operational efficiency but also paves the way for groundbreaking innovations. Ultimately, embracing digital twins can transform how organizations perceive and manage their assets.

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.

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

Bentley Systems

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/en/products/product-line/digital-twins/itwin

Company Facts

Organization Name

Unlearn

Company Location

United States

Company Website

www.unlearn.ai/

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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

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