Nextnet

What is Nextnet?

Nextnet is a cloud-based platform built specifically for scientists in the life sciences. Its main goal is to help you find those hidden connections across different data sources, come up with new ideas (hypotheses), and make decisions together with your colleagues. It is a smart way to explore biomedical information. It offers cool features like relational search, conceptual search, and a semantic biomedical knowledge network that uses AI to make sense of it all. Essentially, Nextnet wants to bring together all the world’s biomedical knowledge and make it super accessible. This means you can do semantic searches, pull out key concepts from scientific papers and databases, and tap into this huge network of information to make smarter choices. Plus, it makes teamwork easier by letting you tag, annotate, and analyze concepts without a fuss. If you want to dive deeper, you can check out their website at getnextnet.com.

Who created Nextnet?

Nextnet was developed by a dedicated team of scientists and developers. Their big idea was to really shake things up in biomedicine by creating a platform where knowledge discovery and decision-making could happen collaboratively. They focused on bringing together biomedical knowledge from all sorts of places, building a cloud-based tool that helps scientists spot those hidden links in data and brainstorm hypotheses together. The platform boasts semantic and conceptual search capabilities, alongside features like relational search and a user-friendly, no-code interface for searching data. By pulling together information from a wide range of biomedical sources, Nextnet empowers scientists to make better-informed decisions and speed up their research and development.

What is Nextnet used for?

• Finding hidden connections across different data sources.
• Developing new hypotheses.
• Making decisions collaboratively.
• Searching semantically using natural language or keywords.
• Discovering concepts pulled from scientific literature and molecular databases.
• Speeding up unbiased decision-making.
• Cutting through the clutter in scientific literature.
• Tagging and annotating concepts.
• Accessing information on pathogens and microbes.
• Understanding concepts in a hierarchical way.

Who is Nextnet for?

• Scientists
• Researchers
• Biotechnologists

How to use Nextnet?

Getting started with Nextnet is pretty straightforward. Here’s a quick rundown:

1. First off, head over to the Nextnet platform website.
2. Once you’re in, use the cloud-based tools to start uncovering those hidden connections within your biomedicine and life sciences data.
3. You can conduct semantic searches using everyday language or specific keywords. This lets you explore ideas and concepts, not just papers or authors.
4. The relational search feature is great for generating objective hypotheses, drawing from a massive knowledge network that’s been put together from various sources.
5. When you do a conceptual search, you can pull out key concepts from scientific literature and molecular databases. These concepts are mapped onto ontologies designed for specific purposes, helping you make really informed decisions.
6. Switching between Graph and List views is easy, which really helps speed up unbiased decision-making.
7. The platform has an AI-powered engine that’s constantly pulling in concepts from all sorts of biomedical data. This gives you the full picture of the knowledge available.
8. You’ll find features like semantic and conceptual search, information on pathogens and microbes, a way to see concepts hierarchically, and tools for collaboratively tagging and annotating concepts.
9. Team up with other scientists on the platform to really boost your discovery process and speed up your research and development efforts.

By following these steps, you can really make the most of Nextnet for discovering knowledge and making decisions together in the exciting fields of biomedicine and life sciences.