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What is VSClinical?

VSClinical enhances the clinical evaluation of genetic variants by aligning with the guidelines set forth by the ACMG and AMP. Its organized workflow ensures compliance with the standards established by the American College of Medical Genetics (ACMG), which are crucial for identifying and classifying pathogenic variants associated with inherited diseases, cancer risk, and rare diagnoses. The integrated ACMG/AMP guidelines for variant interpretation provide a systematic approach for scoring variants and placing them into one of five classification categories. To effectively implement these guidelines, a comprehensive analysis of annotations, genomic contexts, and existing clinical data for each variant is required. VSClinical simplifies this task by delivering a tailored workflow that assesses each pertinent criterion while offering extensive bioinformatics resources, literary references, and insights from clinical databases to support the scoring and interpretation process. This forward-thinking method aims to improve the productivity of variant scientists as they manage the intricacies of variant analysis and processing. Ultimately, VSClinical emerges as a crucial resource for expediting the understanding and classification of genetic variants within clinical environments, fostering better patient outcomes through informed decision-making. Its role in facilitating efficient variant analysis cannot be overstated, as it significantly contributes to the advancement of personalized medicine.

What is Aiforia?

Aiforia empowers both pathologists and researchers operating in preclinical and clinical lab environments by offering sophisticated deep learning and cloud-based solutions intended to optimize image analysis and improve operational workflows. By enabling researchers to uncover new disease biomarkers, helping R&D scientists to shorten the timelines for the creation of innovative therapies, and assisting pathologists in enhancing accuracy in cancer diagnoses, Aiforia utilizes its deep expertise to transform healthcare from the discovery stage all the way to diagnosis. For clinical pathology labs aiming to increase their productivity and improve diagnostic precision, Aiforia Clinical Suites provide a versatile suite of AI-driven diagnostic tools, advanced visualization capabilities, robust quality control protocols, and automated processes for pre- and post-screening. Moreover, we are currently developing tailored Suites specifically for some of the most prevalent cancers globally and have successfully obtained CE-IVD certification for our AI models targeting lung and breast cancer. As we continue to advance our technology, we remain committed to significantly enhancing patient outcomes while simultaneously optimizing laboratory operations. The potential impact of our innovations extends beyond immediate diagnostics, paving the way for a future of more personalized and effective healthcare solutions.

Media

Media

Integrations Supported

Charles River IMS
GenomeBrowse
Microsoft 365
NVIDIA DRIVE
VarSeq

Integrations Supported

Charles River IMS
GenomeBrowse
Microsoft 365
NVIDIA DRIVE
VarSeq

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

Golden Helix

Date Founded

1998

Company Location

United States

Company Website

www.goldenhelix.com/products/VarSeq/vsclinical.html

Company Facts

Organization Name

Aiforia

Company Location

United States

Company Website

www.aiforia.com

Categories and Features

Categories and Features

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