Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DF Literature Monitor is a cutting-edge AI-driven tool that streamlines the process of monitoring extensive literature and enhances safety oversight procedures. It connects with key local and global literature sources to retrieve articles simultaneously, utilizing semantic search technology to efficiently pinpoint pertinent research. The system includes features such as automatic de-duplication, the extraction of essential safety information, and the capability to auto-fill safety case forms, which can be easily submitted to safety databases in E2B or Excel/PDF formats with just one click. Furthermore, it provides automated translation services for abstracts and complete articles into English. DF Literature Monitor is equipped with customizable workflows that promote teamwork and ensure quality control within pharmacovigilance teams. By adopting this solution, organizations can significantly reduce the time and resources spent on literature monitoring by as much as 60% or more, all while maintaining high standards of quality and regulatory compliance. Ultimately, the tool represents a significant advancement in the field of pharmacovigilance, allowing teams to focus on critical analysis rather than manual processes.
Description
ScholarIQ is an online AI-powered research assistant designed to facilitate the search and analysis of scientific literature. It allows researchers to ask questions, access records from databases such as OpenAlex, ORCID, and PubMed, or even upload their own search results and source documents. The platform evaluates articles based on specific review criteria, enhances citation-based discovery through snowballing techniques, and aids users in efficiently screening records, highlighting pertinent excerpts, and extracting desired information from uploaded materials. Furthermore, it provides answers and suggested values that are linked to their respective citations, ensuring that reviewers maintain authority over decisions regarding inclusion, risk-of-bias assessments, and overall conclusions. ScholarIQ meticulously documents reviewer identities, rationale for decisions, and relevant excerpts to ensure that the review process is transparent and accountable. Additionally, it features a public research metadata atlas that connects various papers, researchers, journals, institutions, and topics, thereby fostering a more interconnected research environment. This platform is invaluable for both individual researchers and review teams engaged in thorough literature searches, evidence screening, and the execution of systematic reviews, making the research process more efficient and reliable.
API Access
Has API
No
API Access
Has API
Yes
Integrations
DF mSafety AI
Yes
Microsoft Excel
Yes
Model Context Protocol (MCP)
No
Integrations
DF mSafety AI
No
Microsoft Excel
No
Model Context Protocol (MCP)
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$29/month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Datafoundry
Founded
2016
Country
India
Website
datafoundry.ai/literature-monitor/
Vendor Details
Company Name
ScholarIQ
Founded
2002
Country
United States
Website
scholariq.org