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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.23579/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2505.23579/feed.xml" rel="self" type="application/rss+xml" /><item><title>BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model — mentioned by adibvafa</title><link>https://news.ycombinator.com/item?id=44174319</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.23579:44174319</guid><pubDate>Tue, 03 Jun 2025 20:24:46 GMT</pubDate><description>&lt;p&gt;We built BioReason - integrating DNA foundation models (Evo2) with LLMs (Qwen3) for biological reasoning. - 97% accuracy on disease pathway prediction - 80-88% on variant effect prediction - 15%+ gains over DNA-only or LLM-only models - Tested on 87K+ genomic variants from ClinVar + KEGG pathways Step-by-step biological reasoning instead of black box predictions. Makes genomic AI interpretable. Webpage: https://bowang-lab.github.io/BioReason Paper: https://arxiv.org/abs/2505.23579&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.23579/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
