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ease
features
design
support

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Description

Clario CTMS offers a user-friendly, comprehensive solution for managing clinical trials, enhancing control and efficiency in both data management and workflow while delivering high-quality data for every study, which ultimately leads to significant savings in time, labor, and operational costs. This cloud-based system allows users to access and oversee real-time operational metrics from anywhere at any time, ensuring flexibility in trial management. By utilizing a Microsoft Office-based work environment, Clario CTMS streamlines fragmented clinical trials into a unified and productive workspace, leveraging the familiarity of the most popular office tools globally. The smooth, bi-directional data transfer between Clario CTMS and SharePoint, along with other Microsoft products, creates a robust and efficient platform. Additionally, merging Office functionalities with clinical workflows helps minimize administrative tasks, decrease back-office documentation, and achieve a notably reduced total cost of ownership for organizations. The integration capabilities of Clario CTMS not only enhance operational efficiency but also foster collaboration among teams working on clinical trials.

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

Clario

Founded

1972

Country

United States

Website

clario.com/solutions/trial-enablement/clinical-trial-management/

Vendor Details

Company Name

Unlearn

Country

United States

Website

www.unlearn.ai/

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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Alternatives

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