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ease
features
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support

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Description

Biorce’s Aika represents a groundbreaking AI-driven clinical intelligence platform that enhances every phase of the clinical trial lifecycle by transforming slow, manual processes for protocol development and feasibility assessments into efficient, evidence-based automation. Leveraging insights from approximately one million real-world trials, Aika can swiftly produce first-draft study protocols, comprehensive regulatory documentation, site feasibility evaluations, risk management strategies, and other critical trial components significantly faster than conventional approaches, which helps in minimizing delays and expensive modifications. Aika not only ensures complete transparency in its recommendation processes, allowing teams to confidently communicate their decisions to regulators while retaining expert oversight, but also effectively combines the rapid capabilities of AI with the depth of clinical knowledge. By drastically reducing trial preparation times from weeks to mere days, it significantly decreases the chances of amendments and mitigates overall risk, all while seamlessly fitting into existing workflows without the need for extensive retraining. With Aika, clinical trial teams can focus more on strategic decision-making rather than being bogged down by administrative tasks.

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

Biorce

Founded

2024

Country

Spain

Website

www.biorce.com/our-software

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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