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AI summaries from PubMed in seconds – for medical minds

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    Hi HN, As a researcher, I often found myself struggling with the limitations of keyword-based search when exploring PubMed papers. To address this, I created PubMed Search (https://www.pubmedisearch.com/), a tool that leverages a vector database to enable semantic search across medical research literature. Some key features: * Daily updates to ensure access to the latest articles * Semantic search using latest & greatest embedding models * Some additional useful info about the papers (tldr, journal, publication date, etc.) Hope you find it useful!

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    I decided to build my own AI feeds reader since I wanted features I couldn't find, or at least not in the way I wanted to, for instance: - Filter news by interest/category - Cluster same story from different sources into one - Show short summary of each new so you can skip if it's not really that interesting to you - Track relevant AI figures, but not only their tweets and posts but also their appearences in articles and interviews I'm still tuning it and improving it everyday.

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