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ease
features
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support

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Description

Lindus Health is transforming the landscape of clinical trials by providing an all-encompassing solution that yields quicker and more dependable outcomes. Our holistic methodology combines full-service CRO functions, operational site management, and cutting-edge technology, enhancing every facet of your study from initial design to final data delivery. Utilizing our nimble in-house technology, we accelerate the setup of sites and the recruitment of patients, tapping into a vast pool of over 30 million electronic health records to speed up enrollment. Our pricing model, which operates on fixed milestones and pay-on-results, aligns incentives effectively, removing the risk of unforeseen expenses and delays. With an impressive average satisfaction rating of 9.7 out of 10, our dedicated and experienced clinical operations team is committed to achieving excellence at every stage. Lindus Health has quickly broadened its global footprint, successfully conducting more than 91 trials across diverse therapeutic areas, such as metabolic health, women's health, diagnostics, and medical devices, all while maintaining a focus on innovation and quality in clinical research. This relentless pursuit of efficiency and reliability makes Lindus Health a leader in the industry.

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

Lindus Health

Founded

2021

Country

United States

Website

www.lindushealth.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

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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