Synapse Lens

Instant biomedical entities highlighter & normalizer

Overview： Instantly highlight and normalize biomedical entities as you browse, and turn unstructured web content into structured intelligence. Synapse Lens helps life sciences teams move faster through information overload. As you read industry news, company pipeline pages, and PubMed abstracts, the extension automatically identifies key biomedical entities on the page. It also normalizes names and codes into standard terms so you can capture signals, validate context, and build trackers without manual copy/paste. Result： Fewer missed details, less tab switching, and faster, more consistent intelligence capture from the web. Core Use Cases： 1. Rapid Literature Screening ⚡ When browsing lists on PubMed or journal websites, you can see through the abstract content without opening the full text. Instantly spot involved Targets and Mechanisms to quickly judge the value of the literature and decide whether it's worth a deep read, saving massive amounts of screening time. 2. Efficient News Intelligence 📰 Automatically highlight mentions of New Drugs, Organizations, and Clinical Trials while reading on news sites like Fierce Pharma, StatNews, or Endpoints News. This helps you quickly locate key intelligence within long reports and capture market dynamics. 3. Company/Institution Due Diligence 🏢 When browsing biotech company websites, Wikipedia, or venture capital databases, quickly extract all mentioned Pipeline Drugs and Chemical Components on the page to assist in rapid due diligence. Key Features： 🌟 1. Industry-Leading Entity Recognition Breadth (Broad NER Coverage) We support precise highlighting and extraction of 7 categories of core biomedical entities, covering far more than similar tools: • 💊 Drugs: Accurately identify generic names, brand names, and complex R&D codes. • 🎯 Targets: Covers various proteins, receptors, and gene targets. • 📋 Clinical Trials: Automatically capture registry information like NCT numbers. • 📄 Patents: Sensitively extract patent numbers mentioned in news text. • 🦠 Diseases: Identify indications and disease names. • ⚗️ Compounds: Identify chemical compounds and their structural representations. • 🏢 Organizations: Identify pharma companies, research institutions, and university names. 🔄 2. Smart Term Normalization Powered by the robust Synapse data foundation, the extension doesn't just "highlight"—it automatically "translates" heterogeneous terms. Scenario: If a webpage lists a drug alias (e.g., "Keytruda") or an R&D code (e.g., "MK-3475"), the Synapse Lens sidebar will display its standard generic name ("Pembrolizumab") and supports automatic de-duplication statistics across the article. 🧭 3. Immersive Reading Navigation ⌨️ Keyboard Navigation: After recognition is complete, use the ⬆️ (Up) and ⬇️ (Down) arrow keys to jump quickly between key entities in long webpages, as smooth as using the "Find" function in Word. FAQ： Q: Is this extension free? A: Basic web recognition features are currently free to use. Q: Does it support reading and recognizing PDF files? A: Synapse Lens is designed specifically for HTML webpage browsing to ensure lightweight performance and speed. We understand the pain points researchers have with PDFs, which is why we launched the more powerful Document Analyzer. If you need to analyze local PDFs, full patent texts, or academic papers, please search Eureka Document Analyzer, https://eureka.patsnap.com/ls/#/ai-ls/document-agent, which offers deep structural analysis capabilities tailored for document layouts. Q: How is data security guaranteed? A: We only process the text of the current page when you click to recognize. We do not store your browsing history.