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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 Trovo Health?

Trovo Health employs customized models and designed workflows to enable healthcare practices to swiftly adjust and flourish in a dynamic environment. Our primary objective is to assist physicians in improving patient care while increasing operational efficiency. By merging AI-driven assistants with the capabilities of a diverse healthcare team, we empower practices to explore new possibilities. The cutting-edge platform offered by Trovo, backed by professionals from various disciplines, allows healthcare providers to easily expand their service offerings. By utilizing tailored workflow technologies alongside the expertise of specialist team members, providers can introduce innovative services for patients, improve health outcomes, and enhance their operational processes. The organization has gathered a committed team of clinicians and technology specialists to bring its ambitious vision to fruition. With the recent funding infusion, Trovo intends to further refine its technology platform, broaden clinical operations, and fortify its leadership team. The state-of-the-art platform created by Trovo addresses some of the most urgent issues encountered in healthcare delivery and operational frameworks, establishing a new benchmark for healthcare solutions. Furthermore, Trovo is dedicated to transforming healthcare services through the integration of advanced technology and cooperative care, ultimately aiming to create a more efficient and effective healthcare ecosystem for all stakeholders involved.

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

Trovo Health

Company Location

United States

Company Website

www.trovohealth.com

Categories and Features

Categories and Features

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