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Description

VIPER streamlines the process of screening by automating remote patient identification right at the diagnosis stage and ensuring qualified enrollment. By leveraging artificial intelligence, VIPER efficiently matches patients to precision trials during a critical enrollment period by utilizing lab-agnostic genomic data, electronic medical records (EMR), and pathology information tailored to both the patient and the research requirements. The system employs a specialized matching engine that searches for the most suitable clinical trials corresponding to a patient's specific diagnosis at the moment they receive it. Additionally, through seamless workflow integration, VIPER provides real-time alerts regarding a patient’s eligibility for available trials, ensuring the entire care team is informed during this narrow enrollment timeframe. Furthermore, VIPER features interactive dashboards that offer extensive data mining capabilities, allowing for the aggregation of site and study-level patient data to effectively meet study key performance indicators (KPIs). This comprehensive approach not only enhances trial recruitment efficiency but also supports researchers in achieving their goals more effectively.

Description

Jinni's innovative platform, focused on matching content to audiences based on taste, is transforming how video content is discovered and how targeted digital advertising is executed for entertainment brands. Utilizing its proprietary Entertainment Genome™, which encompasses thousands of unique content attributes or "genes," Jinni excels at discerning the nuanced distinctions in TV shows and movies while also recognizing the individual preferences of each user, leading to an ideal alignment between viewers and content offerings. Our goal is to establish ourselves as the premier content-to-audience platform for entertainment brands, effectively using a single system to connect and promote entertainment titles to the most suitable audiences, significantly enhancing profitability for both platform operators and advertisers in the entertainment sector. The semantic algorithms developed by Jinni that link user preferences to relevant content are paving the way for the future of content discovery and recommendations within the industry. By continuously refining these algorithms, we aim to elevate the user experience and drive engagement to unprecedented levels.

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

Deep Lens

Founded

2017

Country

United States

Website

www.deeplens.ai/deep-lens-healthcare-providers

Vendor Details

Company Name

Jinni

Country

United States

Website

www.jinni.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

Alternatives

Alternatives

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