Praxeon's patent-pending Semantic Fingerprinting™ technology has been developed and extensively tested over the past three years. View this animation to see how the fingerprinter

Identifies relevant concepts within a text source
Connects these concepts to each other and to our sophisticated model of medical knowledge
Compresses this information into a compact fingerprint which enables us to deliver intelligent answers to sophisticated questions in the language of medicine.

Our technology is packaged as a REST web service API which can be used from any programming language. Learn more about our API.
Compare our search to the competition.

Features

Semantic search: The Semantic Fingerprint™ technology is used as the foundation of a powerful and intelligent search engine which accepts naturally phrased medical questions in consumer or professional medical language, and returns highly relevant answers.
Because semantic fingerprints have synonyms and hierarchy built in, you don't have to worry about synonym expansion or false negatives in the search results.

The following is an example question about immunomodulatory therapy that you may ask our search engine:
"When is it appropriate to initiate Immunomodulatory therapy in a patient with MS?"
See our results Here. Then compare with Google, Yahoo! Health, MedStory, and HealthLine!

Built-in content

Praxeon sites and our API both come with many important content sources included, including:

Health News
Health Blogs
PubMed
ClinicalTrials.gov
National Guidelines Clearinghouse
FDA Drugs
Merck Home Manual (license from Merck required for API users)
Merck Manual for Professionals (license from Merck required for API users)

Learn more

By submitting an entire article as a query, the search engine can provide a wide variety of highly relevant related content.

Here is an example using a news article about dietary carbohydrate recommendations for diabetics. Note the extensive results from related news, guidelines, and medical research.

Knowledge discovery

In a professional or research setting, answers span across multiple documents and through a web of relationships between medical concepts such as drugs, diseases, genes, and pathways. Our technology uses document fingerprints to rapidly extract and organize key concepts.

These organized concept lists can be used to get a quick overview of the key ideas in a document collection, refine search results, and discover new knowledge from the literature. Since these concept lists are built from the documents themselves, they are always up to date, and each concept can be traced directly to the documents that reference it.

The Refine Your Results feature on MyDailyApple collects and ranks Disease, Drug, and Gene concepts from a search results list. Here is an example question about immunomodulatory therapy for MS.

Health profile integration

In the course of developing MyDailyApple, our health site for patients, we learned that patients don't always know how to ask a complete medical question to get the best answer. So we worked with Google to make MyDailyApple a Google Health Integrated Service. We import health profiles from Google Health and use them to personally tailor the search results and news for each user. A health profile can be anything from a few keywords describing a user's health interests to a complete Personal Health Record.

Content organization

The Praxeon search engine has a deep understanding of document types and tags that are commonly used with medical content. This allows us to present an answer to each question that organizes the content according to the needs and preferences of the user.

Highlighting and snippets

Our API provides functions to identify and display the specific phrases and paragraphs within search results that are most relevant to the question and context.