Nextnet
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
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
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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.
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Supported ecosystemsUnknown
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What does it do?Biomedical Research, Life Sciences, Scientific Literature Analysis, Hypothesis Generation, Collaborative Research
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Who is it good for?Healthcare Data Analysts, Pharmaceutical Scientists, Biomedical Researchers, Bioinformaticians, Life Science Professionals
PRICING
Visit site| Pricing model: Book Demo / Request Quote |