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What is Deep Lens VIPER?

VIPER enhances the screening process by automating the identification of remote patients at the diagnosis phase, thereby ensuring that qualified candidates are enrolled. Utilizing artificial intelligence, the system adeptly aligns patients with precision trials during a vital enrollment window, drawing on lab-agnostic genomic data, electronic medical records (EMR), and pathology data that cater to individual patient profiles and specific research demands. The specialized matching engine rigorously searches for the most appropriate clinical trials that correlate with a patient's diagnosis as soon as it is made. Moreover, VIPER integrates seamlessly into existing workflows, providing real-time notifications about patient eligibility for ongoing trials, which keeps the entire healthcare team informed during this critical period. In addition to these features, VIPER incorporates interactive dashboards that facilitate extensive data mining, enabling the collection and analysis of site and study-level patient information to effectively achieve study key performance indicators (KPIs). This holistic strategy not only boosts the efficiency of trial recruitment but also significantly aids researchers in reaching their objectives with greater success. By continuously refining its processes, VIPER stands to further revolutionize the landscape of clinical trial enrollment.

What is AarogyaAI?

AarogyaAI is an innovative software-as-a-service (SaaS) platform enhanced by artificial intelligence that can detect drug-resistant tuberculosis in just a few hours. Our goal is to streamline the diagnosis process for drug-resistant tuberculosis (DR-TB) utilizing cutting-edge AI technology, facilitating rapid and accurate treatment suggestions. Tuberculosis remains one of the top causes of death, outpacing even AIDS, largely because of the unpredictability regarding which of the 19 available anti-TB medications will work for individual patients. This uncertainty can result in extended periods—sometimes lasting as long as seven years—during which patients endure ineffective treatments, even though the disease is treatable. By delivering results within hours, AarogyaAI guarantees that patients receive the most appropriate drug combinations for their specific needs without unnecessary wait times. The methodology involves submitting a patient's DNA sequence to our platform, where our sophisticated machine learning algorithms conduct an analysis and produce a comprehensive report on drug susceptibility. This streamlined approach not only conserves time but also enhances health outcomes for individuals battling drug-resistant tuberculosis. With its transformative approach, AarogyaAI is redefining how TB diagnostics and treatments are administered, demonstrating a significant leap forward in the fight against this global health challenge. In essence, our platform exemplifies the intersection of technology and healthcare, paving the way for more effective solutions in managing complex diseases.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Deep Lens

Date Founded

2017

Company Location

United States

Company Website

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

Company Facts

Organization Name

AarogyaAI

Company Location

India

Company Website

aarogya.ai/

Categories and 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

Categories and Features

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