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<rss version="2.0"><channel><description>Dad | Husband | @McMasterU PhD | @StanfordRad &amp; @WuTsaiAlliance Postdoc | @CIHR_IRSC Fellow | Runner. Biker. Adventurer. Big science geek. http://anthonygattiphd.com</description><link>https://bsky.app/profile/aagatti.bsky.social</link><title>@aagatti.bsky.social - Anthony A. Gatti</title><item><link>https://bsky.app/profile/aagatti.bsky.social/post/3ltdg5ttkf22x</link><description>I love this type of approach - for imaging, biomechanics, or other domains… &#xA;&#xA;Take high quality dense data, use physics simulators to generate synthetic sparse data, then train a model to recon dense data from sparse measurements. &#xA;&#xA;Lots of potential pitfalls, but the concept is immensely powerful.&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>06 Jul 2025 23:24 +0000</pubDate><guid isPermaLink="false">at://did:plc:l37rlw65sofp74m7vulgavio/app.bsky.feed.post/3ltdg5ttkf22x</guid></item><item><link>https://bsky.app/profile/aagatti.bsky.social/post/3lrjvoohfak2o</link><description>Since LLMs came out I’ve thought they are the perfect tool for systematic reviews. This is an excellent use case.&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>14 Jun 2025 02:27 +0000</pubDate><guid isPermaLink="false">at://did:plc:l37rlw65sofp74m7vulgavio/app.bsky.feed.post/3lrjvoohfak2o</guid></item></channel></rss>