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ease
features
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support

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Description

We offer a comprehensive tracking solution designed specifically for clinical trials. With a simple download onto your trial managers' mobile devices, you can relax as TruLab's advanced blockchain technology handles all the complexities. There's no need to wait for samples to arrive at a central lab to identify potential issues; instead, you can detect data anomalies in real-time as samples progress through the clinical trial process. TruLab facilitates continual remote accessioning of samples, addressing the significant concern that 20% of samples are either lost or deemed unusable during late-stage trials. This situation is unacceptable from ethical, logistical, and financial perspectives. Furthermore, with sample collections increasingly taking place at participants' homes, new challenges in tracking these samples arise. TruLab effectively monitors samples wherever they are located, ensuring that they are accounted for from residences to repositories, thus enhancing the overall integrity of the clinical trial process. By providing seamless tracking capabilities, TruLab empowers trial managers to mitigate risks and improve outcomes.

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

TruLab

Country

United States

Website

trulab.com

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

Lab Inventory Management

Barcode Scanning
Expiration Date Management
Purchasing
Reorder Management
Sample Management
Supply Management
Usage Tracking
Vendor Management

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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