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medplorer is a tailorable, intelligent research platform for the health sciences, that can be used to semantically analyze, enrich, visualize, and explore public and proprietary medical information

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    What is medplorer?

    • A novel platform for the life sciences, based on the identification of semantic information in medical resources and their representation in rich knowledge graphs
    • Designed to assist researchers by:
      • providing real-time access to information extracted from trial protocols, publications, care records, self-reported patient experiences, etc., from internal institutional sources, or publicly available resources
      • presenting an integrated view of all relevant information enriched by a variety of medical ontologies
      • enabling both targeted retrieval and exploratory work over the entire domain of collected, inter-connected data, through structured representation and visualization of the extracted, inter-connected data

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    How does medplorer work?


    Collects data from a large range of internal and publicly available sources

    • Standard connectors for document- and content- management systems, databases, email servers, etc.
    • Support for various authorization models for controlled access to privileged information
    • Crawling and scraping of web-accessible resources
    • Custom importers and connectors on demand


    Parses documents and extracts existing metadata and structure

    • Support for all major metadata standards, including microformats
    • Can identify the “real content” in documents and web pages
    • Can identify sections and categorize their contents accordingly
    • Can harmonize and deduplicate content and data


    Analyzes documents to discover entities and concepts of medical interest

    • Uses Natural Language Processing (NLP) to identify entities
    • Maps medical terms relating to conditions, treatments, side effects, etc., to a variety of medical ontologies and thesauri
    • Links terms to additional sources of information


    Unifies semantic information and enhances documents

    • Cross-ontology concept mapping and linking
    • Generation of knowledge graph linking documents and concepts
    • Document enrichment with additional data pulled from the ontologies


    Provides an intelligent UI for searching the extracted and interlinked information

    • Natural Language Processing (NLP) to extract semantics from search queries
    • Ontology-backed query disambiguation and expansion
    • Rich set of filters over pre-existing and discovered data dimensions
    • Applies semantic similarity measures to find clusters of similar documents


    Supports exploratory navigation and visualization of the collected, unified, inter-connected data

    • Interactive UI for exploring and navigating the knowledge graph
    • Custom visualizations to discover relations long different dimensions
    • Automatically updated infographics for use in online and offline publications

    medplorer benefits

    • Real-time time access to semantic information from documents, publications, care records, self-reported patient experiences, etc., from internal institutional sources, or web-accessible resources
    • Facilitates scientific awareness and collaboration by surfacing semantic intersections with on-going or completed research
    • Promotes innovation as it can reveal emerging trends or existing gaps in medical research
    • Can be applied in different work contexts:
      • in the evaluation stages of product development
      • for the analysis of market and competitor status
      • for the assessment of products in circulation
      • or, for other specialized tasks in domains such as the analysis of clinical trials, the fulfilment of regulatory reporting obligations, etc.

    The Geneva Health Forum has evaluated and included medplorer to the Repertoire of Innovative Practices in Global Health

    Use cases

    Medical device manufacturer

    Medplorer can facilitate compliance with the new EUDAMED Regulation, by matching existing product portfolios to the new MDR Classification and Labelling rules to identify product lines that require action in order to address forthcoming changes. It can also help in collecting, analyzing and assessing the clinical data required for market surveillance, e.g., to ensure the robustness of clinical evidence, or to identify, early on, the need for post-market studies

    Biomedical R&D scientists

    Medplorer can bolster scientific productivity by offering real-time access to semantic data extracted from documents, publications, self-reported patient experiences, etc., inter-connected and structured using a multitude of medical ontologies, thus enabling faster discovery of insights and revealing emerging trends.

    Medical Substances Manufacturers

    Accessing semantic information regarding the efficiency and efficacy of medical substances (retrieved from documentation, clinical trials, patient groups, etc.) can speed up the evaluation stages of product development, the analysis of the market and of competitor status, the assessment of substances already in circulation. Furthermore it can facilitate the post-market evaluation process of the company's innovative or generic substances.

    Clinical Trials Scientists

    The Medplorer platform enables access to clinical trials already conducted and their outcomes, promoting collaboration amongst institutions and countries, avoiding repetition, speeding up the design and initiation of trials of innovative products, whilst enabling faster and targeted access to trial results of previously marketed similar products.

    Our medplorer platform stands for Swiss quality – it facilitates targeted retrieval and exploratory work for the Life Sciences.