Nextnet

Uncovers hidden connections in biomedicine and life sciences by indexing and linking global information, enabling collaborative hypothesis formation and decision-making.
Biomedical Research Tools Life Sciences Data Analytics Collaborative Knowledge Management

Nextnet is a cloud-based platform that's designed to help scientists and researchers find connections they might not otherwise spot in biomedicine and life sciences. By indexing and linking biomedical information from around the world, Nextnet can help people form hypotheses and make decisions in collaboration with others.

Some of Nextnet's features include:

  • Relational Search: Search with natural language or keywords to find concepts and ideas, not just papers and authors.
  • Conceptual Search: Find concepts Nextnet has extracted from scientific literature and molecular databases and mapped to its own ontologies to try to avoid scientific bias.
  • Semantic Biomedical Knowledge Network: An AI-powered ingestion engine that continuously extracts concepts from biomedical data sources, including text, images, audio and video, so people have the full context of what's available.

Nextnet's features are packaged into different tiers to accommodate different needs:

  • Basic Free: Use the basic features.
  • Academic: Get semantic and conceptual search, molecular data, pharmacological data, pathogen and microbial data, and scientific literature.
  • Discover: Get search in graph and hierarchical concept delivery.
  • Analyze: Get more advanced search and hierarchical concept delivery.
  • Collaborate: Save, share, tag and annotate concepts, with persistent graph functionality.

Nextnet is geared for scientists and researchers in biomedicine and life sciences who want to integrate and contextualize information from different sources to speed up discovery and R&D. The interface is no-code, so people can quickly get to primary evidence and insights.

Published on June 10, 2024

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