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Description

Concentriq, our advanced AI-driven software platform, operates at the crucial crossroads of digital and computational pathology, merging essential functionalities for routine pathology tasks with robust AI tools that enhance innovations and elevate patient care quality. Pathology laboratories around the globe are acutely aware of the contemporary hurdles, which include an escalating cancer incidence, a shortage of trained pathologists, diminishing reimbursement rates, and the urgent need for modernization. In this context, with one billion pathology slides projected to transition to digital formats annually, generating enormous volumes of new data and insights, the urgency to act is undeniable. Digital pathology equips today’s progressive pathology organizations with the resources necessary to tackle these challenges effectively, thereby revolutionizing our operational methods and significantly impacting the fields of medicine and patient treatment. As this transformation unfolds, the potential for improved diagnostics and enhanced patient outcomes continues to grow exponentially.

Description

Numerous choices in cancer treatment are fraught with uncertainty, and existing resources fail to assist a significant number of patients effectively. As a result, this situation contributes to preventable fatalities and the loss of billions in healthcare expenditures. Our team, which consists of experts from both computer science and oncology, is dedicated to addressing the critical challenges in cancer care using artificial intelligence. We are developing clinical-grade deep learning models that evaluate individual patient profiles and offer valuable guidance to oncologists during their decision-making processes. By placing oncologists at the forefront of our AI development, we ensure that the insights generated are not only interpretable but also actionable. Collaborating with leading academic medical institutions and community oncologists, we aim to tackle important clinical questions to improve patient outcomes. Ultimately, our goal is to enhance decision-making in cancer care and reduce the associated burdens on patients and healthcare systems.

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

Proscia

Founded

2014

Country

United States

Website

proscia.com

Vendor Details

Company Name

Valar Labs

Founded

2021

Country

United States

Website

www.valarlabs.com

Product Features

Product Features

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