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What is Mira?

Mira is a specialized online AI platform designed specifically for scientists engaged in research and development across scientific and materials disciplines. It assists researchers in the exploration of literature, organization of evidence, hypothesis generation, management of computational tasks, and summarization of results. The platform includes AI agents that are focused on tasks, seamlessly merging project-specific details with scientific tools and computational assets, thereby supporting the entire research process from the initial question formulation to the analysis and presentation of results. Its use extends across numerous fields, including chemistry, materials science, molecular design, protein workflows, and the replication of established techniques. By providing dedicated project workspaces, Mira maintains contextual continuity throughout various tasks, while its customizable workflow views and comprehensive reports allow users to systematically analyze and organize their findings. In addition, Mira is meticulously developed for scientists and research and development teams aiming to improve their literature-based investigations and computational analyses; crucially, the outputs produced by the platform are meant to enhance, rather than replace, the indispensable judgment and knowledge of experienced researchers. Ultimately, Mira serves to empower scientists to achieve greater efficiency and effectiveness in their scientific pursuits, fostering innovation and discovery. With its user-friendly interface and robust capabilities, it stands out as a vital resource for modern scientific inquiry.

What is CoVigilAI?

CoVigilAI represents a state-of-the-art innovation in the realm of medical literature monitoring, harnessing the power of artificial intelligence and advanced data analytics to proactively detect and manage adverse drug reactions, ensuring patient safety and compliance with regulatory requirements in real-time. This platform facilitates the efficient tracking of scientific and medical literature by retrieving data from prominent global databases such as PubMed and Embase, and it offers customizable search options that improve the pharmacovigilance literature review process. Furthermore, it conducts thorough evaluations of scientific articles and publications from various regional journals, guaranteeing an extensive oversight of both global and localized literature. With the implementation of sophisticated algorithms, the system categorizes Individual Case Safety Reports (ICSRs) into three distinct classifications: valid, potential, and invalid cases, while its automated key entity recognition feature proficiently pinpoints critical components such as patients, medications, adverse reactions, and pertinent medical events. This comprehensive strategy not only streamlines the monitoring procedure but also considerably boosts the precision and efficiency of drug safety evaluations, contributing to a safer healthcare environment. Ultimately, CoVigilAI serves as an indispensable tool for enhancing drug safety and fostering informed decision-making in the medical field.

Media

Media

Integrations Supported

ESMFold2

Integrations Supported

Embase
PubMed

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Deep Principle

Date Founded

2024

Company Location

China

Company Website

agentmira.io

Company Facts

Organization Name

CoVigilAI

Company Location

India

Company Website

covigilai.in/

Categories and Features

AI Science

Not specified

Categories and Features

AI Science

Not specified

Pharmacovigilance

Not specified

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