Unlike classical search engines, which primarily index keywords in abstracts, we've developed Non-Generative AI models to detect specific biomedical concepts and determine their potential interactions.
Thanks to these advanced models, we have constructed a massive network of interaction between biomedical concepts, comprising more than 500 million links. This platform is the direct result of our efforts to provide you with an intuitive interface to query this immense network.
Because automated systems sometimes struggle with identifying the precise references within a text, we are building an expert community to manually produce these annotations. We encourage you to start by applying your expertise to the correction of your recent published article: ""
Master your research with Quaesia’s concept-driven query builder. By integrating the MeSH thesaurus, our engine automatically accounts for synonyms and acronyms while allowing you to engineer high-precision composite entities. Fine-tune your results with weighted searches or flexible keyword fallbacks for unmatched control over your biomedical discovery.
Ranks the 40 million abstracts based on the biological entities and keywords you specified
Retrieve the most relevant article sentences that explain the relationship between two entities, all within the context of your specific query
Experience prioritized discovery across 40 million abstracts, ranked specifically for your unique workspace. Quaesia extracts granular, sentence-level evidence directly from interaction maps, allowing you to validate relationships in context. Refine your research using 39 specialized modules to filter by precise interaction types, from molecular mechanisms to clinical advantages.
Anticipate the next breakthrough with Quaesia’s AI-Driven Prediction Module. By analyzing our vast relationship graph, our model forecasts potential unknown links tailored to your specific query. Customize your discovery using the MeSH hierarchy and validate every prediction with direct textual evidence sourced from our extensive database.
Thanks to manual annotations, we can significantly accelerate your reading of an abstract by clearly highlighting the entities relevant to your specific query
The dedicated author page features three insightful histograms: one detailing the author's publications, one showing publications that cite the author, and one displaying all references utilized. Additionally, a table provides a complete list of MeSH terms used by the author
Accelerate your literature review with AI-augmented abstracts that highlight query-relevant entities and suggest new concepts for instant discovery. Beyond the text, Quaesia visualizes relationship graphs with one-click access to supporting evidence. Dive deeper with advanced author profiles, featuring detailed publication analytics and specialized MeSH expertise mapping.
Sync your research across sessions by connecting your LinkedIn or Patreon account with persistent storage for your studies and curated publication lists. Help us bridge the gap between automated AI and human expertise with a set of dedicated tools. Your expert feedback directly refines Quaesia’s AI-driven detection, ensuring a more accurate discovery engine for the entire community. Take control to your full annotation history, allowing you to review and manage your contributions to our biomedical database.
Once you connect using a LinkedIn or Patreon account, you can save your studies and lists of articles
Once you connect using a LinkedIn or Patreon account, you can save your studies and lists of articles
Interface annotation dedicated to the detection of biomedical entities in texts
Interface annotation dedicated to the relationship evidence extraction in a sentence
You can also review all the annotations you have personally added to help correct and improve our automated AI systems
Powering a database of 40 million PubMed abstracts, with 1.5 million added annually, demands massive computational resources and constant AI curation. To keep Quaesia at the cutting edge and ensure these high-performance tools remain accessible, we rely on our community’s support. Join our mission on Patreon to fund the server infrastructure needed to sustain and evolve this global research asset.
| Score | PMID | Sentence | Edit |
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By becoming a patron, you are not just donating; you are investing in a tool that accelerates your own research and benefits the entire scientific community. Subscribe and help Quaesia keep the publication database up to date, improve our tool's response times and develop new features. Thank you for helping us keep the pace of discovery moving forward.
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| Score | Target |
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| Score | Target | Link to relationship evidence |
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| C | N | Entity | Weight | R |
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