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Description
Testing layout has always been seen as a challenging endeavor. The Galen Framework provides a straightforward approach by allowing users to verify the positioning of elements in relation to one another on a webpage. With its unique syntax and detailed rules, you can articulate virtually any layout concept you envision. Galen Framework integrates seamlessly with Selenium Grid, enabling you to execute tests in cloud environments such as TestMu AI, Sauce Labs, or BrowserStack, which facilitates the testing of responsive websites across various mobile devices. Additionally, Galen supports the execution of multiple tests simultaneously, significantly enhancing efficiency. Built with a focus on responsiveness, Galen makes it simple to configure tests for different browser dimensions. It operates by launching a browser, adjusting its size to the specified dimensions, and subsequently assessing the page based on the given criteria. By utilizing the Galen Specs Language, you can effectively describe intricate layouts that accommodate various screen sizes and browser types. Not only is it user-friendly to write in, but it is also easily comprehensible for those who may not be well-versed in the language, making it accessible for a broader audience. This combination of features ensures that both developers and testers can efficiently collaborate on layout testing.
Description
Ibex Medical Analytics stands at the forefront of AI-driven cancer diagnostics within the field of pathology. Our diverse team comprises entrepreneurs, data scientists, software engineers, and medical professionals united in our mission to revolutionize cancer diagnostics through artificial intelligence, ultimately enhancing patient care. As the volume of tests continues to rise annually, pathologists face significant challenges in delivering precise and timely analyses. To address this, Ibex harnesses the power of AI to create clinical-grade solutions that aim to identify cancer with the same level of accuracy as a human pathologist. The Galen Platform employs advanced algorithms to scrutinize images, detect and classify cancer in biopsy samples, and highlight other clinically significant findings, thereby assisting pathologists in minimizing diagnostic errors while streamlining their workflow. Notably, Ibex’s Galen™ Prostate and Galen™ Breast solutions represent the pioneering AI-based cancer detection tools integrated into routine clinical practice in pathology labs, showcasing proven efficacy in uncovering previously missed cancer cases. As we continue to innovate, our commitment to improving cancer detection and patient outcomes remains unwavering.
API Access
Has API
API Access
Has API
Integrations
BrowserStack
Sauce Labs
Pricing Details
Free
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
Galen Framework
Country
Netherlands
Website
galenframework.com
Vendor Details
Company Name
Ibex Medical Analytics
Founded
2016
Country
Israel
Website
ibex-ai.com/solutions/the-galen-platform/
Product Features
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
