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What is LARVOL CLIN?

The LARVOL CLIN platform provides an extensive array of AI-powered data analytics and intelligence tailored for oncology and drug development professionals, integrating more than 100,000 cancer clinical trials alongside detailed outcomes, digitized Kaplan-Meier curves, forest plots, and real-time social media commentary from a community of over 5,000 oncologists. Users gain access to a cohesive interface that facilitates searches based on condition, intervention, or trial ID, enriched by expert-curated insights and visually appealing dashboards that enhance decision-making. Moreover, the platform includes functionalities such as conference tracking, comprehensive databases for biomarkers and diagnostics, and in-depth market intelligence reports collected from upwards of 25,000 sources, including regulatory agencies, clinical trial registries, and various scientific conferences. This tool is specifically designed to assist pharmaceutical and biotech teams in interpreting trial results, identifying trends, understanding mechanisms of action, and pinpointing biomarkers within disease pipelines, utilizing sophisticated search filters, heat maps, and real-time notifications. By adopting this all-encompassing strategy, users are ensured that they remain knowledgeable and prepared to make insightful choices amid the fast-paced advancements in the field. Ultimately, LARVOL CLIN stands out as an indispensable resource for those navigating the complexities of oncology research and drug development.

What is Altis Labs Nota?

Altis Labs has introduced Nota, a groundbreaking platform aimed at improving the efficiency of therapeutic research and development in the clinical field. By leveraging artificial intelligence, Nota assesses imaging data to forecast patient outcomes, enabling sponsors to better concentrate on their most viable therapies. This cutting-edge tool equips researchers with the ability to utilize imaging data from clinical trials, access predictive biomarkers, and accelerate research initiatives on a broader scale. With Altis' cloud-based software that employs deep learning techniques, biopharma companies can achieve comprehensive outcome predictions at the levels of individual images, patients, and entire cohorts, thereby enhancing the design of clinical trials and boosting confidence in predicting clinical endpoints. The insights provided by Nota hold the potential to significantly shorten development timelines, reduce drug development costs, and increase the likelihood of success in clinical trials across diverse therapeutic areas. Furthermore, Nota signifies a major leap forward in the fusion of technology with clinical research, ultimately paving the way for more streamlined and effective drug development methodologies. This innovation not only promises to transform the landscape of clinical trials but also aims to improve patient outcomes in the long run.

Media

Media

Integrations Supported

Alignable

Integrations Supported

Alignable

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

LARVOL

Date Founded

2004

Company Location

United States

Company Website

www.larvol.com

Company Facts

Organization Name

Altis Labs

Date Founded

2019

Company Location

Canada

Company Website

www.altislabs.com/news/altis-labs-announces-launch-of-nota-a-clinical-information-platform-to-accelerate-therapeutic-r-d

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Categories and Features

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