Synapse Lens
Biomedical web entity recognition & normalization tool
9 followers
Biomedical web entity recognition & normalization tool
9 followers
Synapse Lens is a biomedical reading accelerator that transforms web content into structured intelligence. It recognizes 7 core entities: Drugs, Targets, Clinical Trials, Patents, Diseases, SMILES, and Organizations. It automatically normalizes drug aliases and R&D codes into standard generic names. Speed up PubMed screening and pharma news analysis with keyboard navigation and secure, on-click processing.
Hi Product Hunt! 👋
We built Synapse Lens because we were tired of the "open 50 tabs to Google drug codes" struggle that every biomedical researcher knows too well. It’s designed to be a lightweight "reading accelerator" that stays out of your way until you need to turn a dense webpage into structured intelligence.
Here is how it helps your daily workflow:
See through the noise: It instantly spots and highlights 7 core entities like Targets, Clinical Trials, and even SMILES structures .
No more guessing games: It automatically "translates" messy R&D codes or brand names into standard generic names (e.g., mapping MK-3475 to Pembrolizumab).
Speed-read like a pro: You can jump between key findings by clicking the navigation arrows on the plugin, which is a lifesaver for long PubMed abstracts or news reports.
Free & Deep Insights: Basic web recognition is free for everyone. Simply sign up to unlock detailed entity cards and the complete data picture for every identified term.
Privacy First: Your research is private. The extension only processes text when you click to identify it, and we never store your browsing history.
I’d love to hear your thoughts and am happy to answer any questions!
@huibin_zhu Congrats on the launch, Huibin. As someone who’s spent too many nights chasing drug codes across 20 tabs, this is super appealing. The alias/R&D-code normalization + entity highlights (trials, targets, SMILES) feels like a real time-saver. What data sources power the normalization, and can results be exported to Zotero/CSV for screening workflows?
@hijacey Thanks so much for the support! I totally feel your pain with the "20-tab struggle"—it's exactly why we built Synapse Lens.
To answer your questions:
Data Sources: The normalization is powered by the Synapse (PatSnap) pharmaceutical database, which tracks millions of drugs, targets, and patents globally to ensure accuracy.
Exporting: While we don't have direct Zotero/CSV export yet, we do support exporting results in Markdown format. The export includes a structured list of all identified entities and their frequency of occurrence, which is perfect for your research notes. Zotero/CSV integration is definitely a great suggestion for our future roadmap!
We’d love to have you try out the Markdown export and let us know what you think!