Nextnet

Uncover hidden biomedical insights through integrated data analysis

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Nextnet

Target Audience

  • Pharmaceutical researchers
  • Academic biomedical labs
  • Biotech R&D teams
  • Clinical trial designers

Hashtags

#DrugDiscovery#KnowledgeGraph#ScientificDiscovery

Overview

Nextnet helps scientists cut through information overload by connecting millions of biomedical papers, patents, and molecular data points into one searchable platform. Our AI organizes complex relationships between genes, drugs, and diseases so researchers can make discoveries faster without jumping between siloed databases. Teams collaborate directly in the platform to validate hypotheses using the most complete evidence available.

Key Features

1

Relational Search

Find concepts across papers, patents, and molecular data simultaneously

2

AI Contextualization

Automatically maps relationships between 1B+ scientific concepts

3

Multi-Modal Data

Integrates literature, omics, pathology, and drug development data

4

Bias Reduction

Surfaces connections across disciplines to counter narrow focus

Use Cases

🧪

Generate cross-disciplinary hypotheses

🔬

Validate drug target relationships

📚

Accelerate literature review processes

🤝

Collaborate on research insights

Pros & Cons

Pros

  • Aggregates 20M+ publications and 100K+ biological pathways
  • Reduces blind spots in single-domain research
  • No-code interface for non-technical users
  • Continuously updated with latest research

Cons

  • Specialized for biomedicine/life sciences only
  • Requires domain expertise to maximize value
  • Collaboration features appear basic compared to dedicated tools

Frequently Asked Questions

How does Nextnet handle data integration?

Uses AI to continuously extract concepts from 20M+ publications, patents, and molecular databases into a unified semantic network

What types of data does Nextnet analyze?

Processes scientific literature, sequencing data, expression atlases, omics, pathology reports, and approved drug information

Can non-computational biologists use Nextnet?

Yes, features like natural language search and no-code interface make it accessible to bench scientists

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