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What does it do?

  • Biomedical Research
  • Life Sciences
  • Scientific Literature Analysis
  • Hypothesis Generation
  • Collaborative Research

How is it used?

  • Web app for semantic searches and hypothesis generation.
  • 1. Access web app
  • 2. Perform searches
  • 3. Analyze results
  • 4. Save & share findings
See more

Who is it good for?

  • Healthcare Data Analysts
  • Pharmaceutical Scientists
  • Biomedical Researchers
  • Bioinformaticians
  • Life Science Professionals

What does it cost?

  • Pricing model : Book Demo / Request Quote

Details & Features

  • Made By

    Nextnet
  • Released On

    2020-05-16

Nextnet is a cloud-based platform that revolutionizes collaborative knowledge discovery and decision-making in biomedical and life sciences. By integrating and contextualizing vast amounts of multi-modal biomedical data, Nextnet enables scientists to uncover hidden connections, generate hypotheses, and make informed decisions based on comprehensive information.

Key features:

- Relational Search: Conduct semantic searches using natural language or keywords to discover concepts and ideas beyond papers and authors.
- Vast Knowledge Network: Leverage a synthesized network of knowledge from disparate data sources for comprehensive insights.
- No-code User Interface: Access primary evidence quickly and discover insights faster through an intuitive interface.
- Conceptual Search: Extract concepts from scientific literature and molecular databases mapped onto purpose-built ontologies.
- Flexible Results View: Switch between graph and list views to analyze search results.
- AI-powered Ingestion Engine: Continuously extract concepts from various biomedical data sources, including scientific literature, patents, sequencing data, expression atlases, omics, pathology, approved drugs, and biological systems.
- Collaboration Tools: Save and share findings with colleagues, tag and annotate concepts, and maintain a persistent graph of research.

How it works:

1. Users access the web-based platform.
2. They perform semantic and conceptual searches using natural language or keywords.
3. The platform provides access to a vast network of biomedical knowledge.
4. Users can switch between different views to analyze results.
5. The no-code interface allows for quick data access and analysis without technical expertise.

Use of AI:
Nextnet utilizes AI to power its ingestion engine, which extracts and contextualizes concepts from a wide range of biomedical data sources.

Target users:
- Scientists in biomedical and life sciences fields
- Researchers managing and analyzing large volumes of data
- Professionals generating hypotheses and making informed decisions collaboratively

How to access:
Nextnet is available as a web app with three plan options: Basic Free, Academic, and Discover.

  • Supported ecosystems
    Unknown
  • What does it do?
    Biomedical Research, Life Sciences, Scientific Literature Analysis, Hypothesis Generation, Collaborative Research
  • Who is it good for?
    Healthcare Data Analysts, Pharmaceutical Scientists, Biomedical Researchers, Bioinformaticians, Life Science Professionals

PRICING

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Pricing model: Book Demo / Request Quote

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