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ease
features
design
support

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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.

Description

cubeCTMS is an all-encompassing clinical-trial management platform that facilitates complete oversight of trials, encompassing aspects such as tracking study sites and investigators, managing enrollment and visit schedules, and overseeing budget and contract workflows, as well as milestone reporting and document management. By centralizing study operations and automating essential processes, it allows sponsors, CROs, and study teams to oversee progress in real time, coordinate tasks across various studies, enhance communication with sites, and reduce risks. The platform offers integrated dashboards, notifications, and audit-ready documentation to ensure compliance with regulatory standards, including readiness for FDA 21 CFR Part 11, empowering stakeholders to oversee trial timelines, resources, and overall performance from a singular interface. Additionally, cubeCTMS seamlessly connects with other CRScube modules, such as EDC, eTMF, and pharmacy/RTSM, creating a cohesive ecosystem that minimizes redundancy, optimizes data flow, and supports flexible workflows during amendments or large-scale implementations. This integration not only streamlines processes but also enhances the overall efficiency of clinical trials, making it an invaluable tool for research teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

cubeCDMS
cubeSAFETY

Integrations

cubeCDMS
cubeSAFETY

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

Unlearn

Country

United States

Website

www.unlearn.ai/

Vendor Details

Company Name

CRScube

Founded

2010

Country

South Korea

Website

www.crscube.io/solution/cubectms

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

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

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