Q&A

What is SOMA?

SOMA is a research automation platform designed to streamline and accelerate medical hypothesis testing and knowledge extraction. It is developed by Cloudcell Limited and is part of the Systematic Objective Meta Analysis (SOMA) project.

How does SOMA assist in medical hypothesis testing?

SOMA helps with medical hypothesis testing by analyzing public medical research articles, extracting important concepts, and identifying causal and associative relationships between these concepts. This automated process expedites the hypothesis testing process by providing valuable insights from a large volume of existing literature.

What function does the knowledge graph in SOMA serve?

The knowledge graph in SOMA is a specialized database that organizes the extracted information from medical research articles. It is integral for researchers as it allows them to input specific pairs of concepts and retrieve relevant causal chains based on their criteria.

How does SOMA find causal and associative relationships in medical research articles?

SOMA finds causal and associative relationships in medical research articles by using machine learning and natural language processing to analyze text in the articles. It automatically recognizes and categorizes concepts and detects patterns that suggest a cause-and-effect link or an association between these concepts.

How does SOMA facilitate medical research?

SOMA facilitates medical research by automatically analyzing and extracting relevant information from medical research articles, organizing it into a usable format in a knowledge graph, allowing efficient literature reviews and providing continuous access to updated information. It also presents causal chains from specified concepts that aid in deduction and inference.

How much time can I save on document pre-processing using SOMA?

SOMA can save users up to 80% of the time typically spent on pre-processing documents.

What are the benefits of the literature review feature in SOMA?

The literature review feature in SOMA captures documents based on the mechanism of action and finds articles not just with your specified keywords, but also with other relevant concepts. This helps you to uncover hidden connections, saving time and enhancing the quality of the review.

Can SOMA help me uncover hidden connections in medical research?

Yes, SOMA can help you uncover hidden connections in medical research. It does this by finding articles not only based on your specified keywords or concepts but also related concepts that may not have been mentioned in a single document.

What is the customizable length of causal chains in SOMA?

The length of causal chains in SOMA is customizable by the user. You can set the filter to specify the length of the causal chains you want the system to retrieve.

How can I obtain access to specific research articles in SOMA?

On SOMA, specific research articles can be accessed via the web links provided by the system. Each link in every causal chain is documented by a sentence extracted from a research article which you can access directly.

Does SOMA offer a free trial? If so, for how long?

Yes, SOMA offers a free trial period of 14 days, during which users have full access to its features.

How can I sign up for the SOMA free trial?

You can sign up for the SOMA free trial on the platform's website.

Who developed SOMA? And what project is it part of?

SOMA is developed by Cloudcell Limited and is part of the Systematic Objective Meta Analysis (SOMA) project.

How does SOMA contribute to accelerating medical innovation?

SOMA accelerates medical innovation by automating the analysis of published research, providing insights to build on existing knowledge and accelerating the hypothesis testing process. This allows researchers to focus more on pushing their research forward as they spend less time on the laborious task of document pre-processing.

How can the SOMA platform help me in organizing and speeding up my reviews?

SOMA can help you in organizing and speeding up your reviews by automating the process of analyzing and extracting information from previously published research. This allows you to spend less time on organizing reviews and more time focusing on your own research.

Can I find articles relevant to my research based on the mechanism of action in SOMA?

Yes, SOMA can find articles relevant to your research based on the mechanism of action. It identifies articles using your specified concepts that occur on a causal chain you find, helping you to discover documents with hidden connections to your research.

Are there any social media or community platforms where I can learn more about SOMA?

You can learn more about SOMA on various social media and community platforms like Facebook, Instagram, LinkedIn, Twitter, Youtube, Reddit, Telegram, and Discord.

How can I contact the SOMA team for further information?

For further information, you can contact the SOMA team via email at [email protected]. They can also be reached on Telegram and Discord.

How reliable is the information extracted by SOMA?

The reliability of the information extracted by SOMA is high as it is derived from publicly available medical research articles. However, like any automated system, the accuracy may depend on the quality and relevance of the source documents.

Can SOMA help me to spend less time on document pre-processing and focus more on my own research?

Yes, SOMA can help you focus more on your own research as it can save you up to 80% of the time typically spent on document pre-processing. It accelerates the analysis of published research, thus enabling you to build on existing knowledge and driving your research forwards.

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