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ease
features
design
support

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Description

Utilize SpaceCREST’s digital twin to swiftly pinpoint and assess vulnerabilities, enhance cyber resilience, and safeguard your physical assets against threats that may jeopardize their functionality. The collaboration between SpaceCREST and Redwire has led to the creation of advanced tools and technologies designed to facilitate vulnerability research on hardware components, allowing for the identification of potential weaknesses that could affect system integrity. Additionally, these resources offer actionable methods and strategies for mitigating and protecting against the vulnerabilities discovered. BigBear.ai can seamlessly incorporate your devices into a robust evaluation and security testing framework, enabling a comprehensive assessment of vulnerabilities and the identification of cybersecurity requirements. Furthermore, SpaceCREST’s digital twin equips operators with essential tools for conducting vulnerability research, enabling them to promptly detect when an attack or system failure occurs. This platform ensures ongoing monitoring and situational awareness of assets, empowering users to leverage digital twins for immediate responses to early warning signals. In this way, organizations can enhance their overall security posture and ensure greater protection against evolving threats.

Description

Progressing artificial intelligence to remove the need for trial and error in healthcare, our digital twins facilitate swift and assured clinical trials. We focus on areas such as neuroscience, immunology, and metabolic diseases, among others. TwinRCTs expedite full enrollment by requiring fewer participants to provide equivalent statistical power compared to conventional trial methodologies. This approach significantly reduces the time needed for late-stage study enrollment. Additionally, TwinRCTs enhance the ability to detect treatment effects in early-stage studies by bolstering statistical power without necessitating an increase in participant numbers. They enable researchers to make informed decisions based on initial study outcomes and help attract more participants to trials. By utilizing smaller control groups, TwinRCTs also improve participants' odds of receiving the experimental treatment. Our commitment to positioning clinical trials with digital twins for regulatory success is unwavering. Unlearn is at the forefront of transforming the medical field through the innovative application of artificial intelligence, creating and implementing novel generative models that are trained on vast datasets derived from previous patient studies. This evolution in methodology not only streamlines research but also enhances the overall effectiveness of clinical trials.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

BigBear.ai

Country

United States

Website

bigbear.ai/solutions/spacecrest/

Vendor Details

Company Name

Unlearn

Country

United States

Website

www.unlearn.ai/

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Product 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

Alternatives

Alternatives

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