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What is Valar Labs?

The landscape of cancer treatment is riddled with choices that often come with significant uncertainty, leaving many patients without adequate support from available resources. This gap not only leads to unnecessary fatalities but also results in the waste of billions within the healthcare system. Our dedicated team, comprising specialists in both computer science and oncology, is committed to confronting these pressing challenges in cancer treatment through the application of artificial intelligence. We are in the process of creating advanced deep learning models designed to analyze individual patient data, providing crucial support to oncologists as they navigate their decision-making processes. By prioritizing oncologists in the development of our AI tools, we guarantee that the insights produced are both interpretable and applicable in real-world scenarios. In partnership with top academic medical centers and practicing oncologists, we are working to address pivotal clinical questions that can lead to better patient outcomes. Our ultimate aim is to refine the decision-making process in cancer care, thereby alleviating the burdens faced by patients and healthcare providers alike, and paving the way for a more effective treatment paradigm. This initiative stands to usher in a new era of personalized cancer therapy, where decisions are informed by data-driven insights tailored to each patient's unique circumstances.

What is Noona?

Noona® presents a thorough management solution designed to improve patient outcomes by engaging patients actively in their treatment process through real-time symptom reporting and monitoring, optimized clinical workflows supporting evidence-based practices, and access to a wealth of data insights for better ongoing care management. Patients have the flexibility to report their symptoms, complete questionnaires, and connect with their healthcare teams at their convenience. This method allows care teams to collect highly specific and detailed information tailored to each patient's individual diagnosis and treatment plan, which promotes more informed decision-making. Additionally, automated prioritization enables healthcare providers to swiftly identify and attend to patients requiring immediate care. The platform boasts over 31 treatment modules that cover more than 97 common cancer types, enhanced by 244 algorithms that evaluate symptom severity based on established guidelines. Its ability to be deployed remotely ensures rapid implementation, granting patients immediate access to the system for use. Ultimately, this innovative approach significantly improves the quality of patient care and outcomes throughout the entire treatment process, fostering a more collaborative environment between patients and healthcare providers. By leveraging technology, Noona® aims to transform the patient experience and promote better health management.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Valar Labs

Date Founded

2021

Company Location

United States

Company Website

www.valarlabs.com

Company Facts

Organization Name

Varian

Date Founded

1999

Company Location

United States

Company Website

www.varian.com/products/software/patient-engagement/noona

Categories and Features

Categories and Features

Patient Management

Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking

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