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Ratings and Reviews 0 Ratings
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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 Aiforia?
Aiforia empowers both pathologists and researchers operating in preclinical and clinical lab environments by offering sophisticated deep learning and cloud-based solutions intended to optimize image analysis and improve operational workflows. By enabling researchers to uncover new disease biomarkers, helping R&D scientists to shorten the timelines for the creation of innovative therapies, and assisting pathologists in enhancing accuracy in cancer diagnoses, Aiforia utilizes its deep expertise to transform healthcare from the discovery stage all the way to diagnosis. For clinical pathology labs aiming to increase their productivity and improve diagnostic precision, Aiforia Clinical Suites provide a versatile suite of AI-driven diagnostic tools, advanced visualization capabilities, robust quality control protocols, and automated processes for pre- and post-screening. Moreover, we are currently developing tailored Suites specifically for some of the most prevalent cancers globally and have successfully obtained CE-IVD certification for our AI models targeting lung and breast cancer. As we continue to advance our technology, we remain committed to significantly enhancing patient outcomes while simultaneously optimizing laboratory operations. The potential impact of our innovations extends beyond immediate diagnostics, paving the way for a future of more personalized and effective healthcare solutions.
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
Aiforia
Company Location
United States
Company Website
www.aiforia.com
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
