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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 GE Digital Twin?

Employing advanced analytics and machine learning methodologies is vital for reducing operational costs and alleviating risks. Digital twins, a key element of the digital transformation journey, offer exact virtual models of physical assets, systems, and objects that aim to improve productivity, streamline processes, and boost profitability. Generally, a digital twin is seen as a software representation of a tangible asset or system designed to identify, prevent, forecast, and enhance operations through real-time data analysis, ultimately providing considerable advantages for businesses. At GE Digital, we focus on utilizing digital twin software to support our clients across three essential areas: Asset, Network, and Process. By adeptly overseeing, simulating, and controlling an asset or process, organizations can greatly improve system performance. Moreover, it is imperative to prioritize the health and safety of employees and the environment while pursuing business objectives, which entails reducing incidents associated with assets and processes and avoiding unexpected downtimes, thus nurturing a more robust operational structure. The adoption of digital twin technology not only boosts efficiency but also opens doors for innovation across numerous industries. As organizations embrace this technology, they position themselves for sustained growth and competitive advantage in an ever-evolving marketplace.

Media

Media

Integrations Supported

APERIO DataWise

Integrations Supported

APERIO DataWise

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

GE Digital

Date Founded

2015

Company Location

United States

Company Website

www.ge.com/digital/applications/digital-twin

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

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

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