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Description
The MDClone ADAMS Platform serves as a robust, self-service environment for data analytics that facilitates collaboration, research, and innovation within the healthcare sector. With this groundbreaking platform, users gain real-time, dynamic, secure, and independent access to valuable insights, effectively dismantling obstacles to healthcare data exploration. This empowers organizations to embark on a journey of continuous learning that enhances patient care, optimizes operations, encourages research initiatives, and fosters innovation, thereby driving actionable outcomes throughout the entire healthcare ecosystem. Additionally, the use of synthetic data allows for seamless collaboration among teams, organizations, and external partners, enabling them to delve into the essential information they require precisely when it is needed. By tapping into real-world data sourced directly from within health systems, life science organizations can pinpoint promising patient cohorts for detailed post-marketing analysis. Ultimately, this innovative approach transforms the way healthcare data is accessed and utilized for life sciences, paving the way for unprecedented advancements in the field. As a result, stakeholders can make informed decisions that significantly impact patient outcomes and overall healthcare quality.
Description
Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.
API Access
Has API
API Access
Has API
Integrations
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Integrations
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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
MDClone
Website
www.mdclone.com
Vendor Details
Company Name
OneView
Founded
2018
Country
Israel
Website
www.oneview.space/