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Description

AcceleTrial™ eliminates uncertainties in identifying and activating clinical trial sites. Our Study Start-up Management System (SSMS) relies on objective data rather than self-reported information. With AcceleTrial™, you gain access to a comprehensive database of thousands of globally ranked and indexed sites, evaluated based on their specific therapeutic expertise, clinical trial experience, and patient data. This system allows for an objective pairing of the most suitable sites worldwide with the relevant data on expertise, experience, and patient demographics for your clinical trials. You can swiftly engage the right sites to commence patient enrollment through AcceleTrial™'s automated “push and pull” functionality, available in multiple languages. The platform simplifies the process of gathering necessary documents with pre-filled templates and enables real-time tracking of activities. You can begin utilizing the system immediately, as it is a cloud-based solution that requires minimal IT infrastructure or training. Moreover, AcceleTrial™ can be seamlessly integrated with CTMS or other existing clinical trial management systems for enhanced efficiency. This ensures a streamlined approach to clinical trial management, allowing researchers to focus on their core objectives.

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

LINEA System

Founded

2007

Country

United States

Website

www.lineasystem.com/acceletrial/

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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