SOMA

CloudCell is a powerful AI platform designed to streamline and accelerate medical research. It analyzes medical research articles, extracts key concepts, and identifies causal and associative relationships, organizing this information into a specialized knowledge graph. This graph allows researchers to quickly find relevant causal chains and access specific articles. CloudCell also enhances literature reviews by finding relevant articles based on the mechanism of action, uncovering connections not found in single documents.

Highlights

• Saves time: Automates document pre-processing, saving up to [percentage] of time typically spent on this task.
• Enhances literature reviews: Identifies relevant articles based on the mechanism of action, uncovering hidden connections and speeding up research.
• Empowers researchers: Provides valuable insights for building on existing knowledge and driving research forward.

Key Features:

• Knowledge Graph: Organizes extracted information from research articles, allowing researchers to quickly find relevant causal chains and access specific articles.
• Causal Chain Retrieval: Allows researchers to input specific pairs of concepts and retrieve relevant causal chains with customizable lengths.
• Mechanism of Action Search: Identifies articles relevant to the researcher's specified cause and effect relationships, enabling users to uncover hidden connections.