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features
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support

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Description

To shape the future effectively, one must take proactive steps in creating it. Exigyn offers immediate access to a financial analyst right at your fingertips. You can easily design clinical trial scenarios, evaluate cash flow sustainability, and still enjoy your evening meal. By utilizing essential KPIs such as patient enrollment, site efficiency, and cost per patient, you can enhance trial expenditures. Implement our comprehensive multidimensional database for accurate and thorough tracking, down to the level of individual vendor names. With just a single click, you can swiftly adjust financial predictions, budgets, departmental structures, project listings, charts of accounts, and expenditures. Simplify personnel planning by aligning staff numbers with clinical objectives and optimizing your organizational layout. Equipped with user-friendly tools for monitoring roles, salary ranges, and anticipated hires, you can confidently prepare for what lies ahead. Moreover, our solution incorporates real-time data, automating clinical accrual processes, which allows you to conserve valuable time and resources while focusing on what matters most. Embrace the future of financial management and make informed decisions today.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Sheets Yes 
Microsoft Excel Yes 

Integrations

Google Sheets No 
Microsoft Excel No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Exigyn

Founded

2023

Country

United States

Website

exigyn.com

Vendor Details

Company Name

Unlearn

Country

United States

Website

www.unlearn.ai/

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance No 
Document Management No 
Electronic Data Capture No 
Enrollment Management No 
HIPAA Compliant No 
Monitoring No 
Patient Database No 
Recruiting Management No 
Scheduling No 
Study Planning No 

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