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ease
features
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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

Explore the distinct advantages of nQuery, from sample size and power analysis to innovative adaptive trial design, and experience the ultimate trial design platform that accelerates clinical trials while reducing expenses and enhancing success rates. Learn why nQuery is the preferred option for researchers and biostatisticians globally, who are faced with the challenges of growing trial complexity, escalating costs, and evolving regulations. Effortlessly calculate sample sizes for FDA and EMA submissions with our quick, spreadsheet-style interface that requires no coding skills. We cater to both Frequentist and Fixed-term trials, providing straightforward reporting for all stakeholders involved in the trial process. Gain realistic forecasts of expected timelines and costs, ensuring your sample size aligns with both scientific and financial parameters. With the ability to fine-tune calculations using the multiple factors tool, nQuery offers over 1000 procedures for sample size and power calculations, enabling you to swiftly determine sample sizes across various scenarios, ultimately streamlining your clinical research efforts. Take advantage of nQuery's comprehensive features to navigate the complexities of modern clinical trials with confidence.

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

Unlearn

Country

United States

Website

www.unlearn.ai/

Vendor Details

Company Name

Statistical Solutions

Country

United States

Website

www.statsols.com

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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