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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

NVIDIA® Parabricks® stands out as the sole suite of genomic analysis applications that harnesses GPU acceleration to provide rapid and precise genome and exome analysis for various stakeholders, including sequencing centers, clinical teams, genomics researchers, and developers of high-throughput sequencing instruments. This innovative platform offers GPU-optimized versions of commonly utilized tools by computational biologists and bioinformaticians, leading to notably improved runtimes, enhanced workflow scalability, and reduced computing expenses. Spanning from FastQ files to Variant Call Format (VCF), NVIDIA Parabricks significantly boosts performance across diverse hardware setups featuring NVIDIA A100 Tensor Core GPUs. Researchers in genomics can benefit from accelerated processing throughout their entire analysis workflows, which includes stages such as alignment, sorting, and variant calling. With the deployment of additional GPUs, users can observe nearly linear scaling in computational speed when compared to traditional CPU-only systems, achieving acceleration rates of up to 107X. This remarkable efficiency makes NVIDIA Parabricks an essential tool for anyone involved in genomic analysis.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform No 
Microsoft Azure No 
Oracle Cloud Infrastructure No 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
Oracle Cloud Infrastructure Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Deep Lens

Founded

2017

Country

United States

Website

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

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/clara/genomics/

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance No 
Document Management No 
Electronic Data Capture No 
Enrollment Management No 
HIPAA Compliant No 
Monitoring No 
Patient Database No 
Recruiting Management No 
Scheduling No 
Study Planning No 

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