Open Life Science AI

Open Medical -LLM Leaderboard with Hugginface collaboration ⚡🚀🧬

9/9 For daily insights into Medical AI breakthroughs: 💬 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: discord.gg/A5Fjf5zC69 📝 𝗦𝘂𝗯𝘀𝘁𝗮𝗰𝗸: @OpenlifesciAI" target="_blank" rel="nofollow noopener">substack.com/@OpenlifesciAI 📺 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI 🎧 𝗦𝗽𝗼𝘁𝗶𝗳𝘆: open.spotify.com/show/4edRuSTOu… #MedicalAI #Innovation #HealthTech #FutureOfMedicine [9/9]

𝟴/𝟵 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 By turning "what if not?" into an explicit evidence-checking step, this framework transforms AI diagnosis from a black-box guess into a transparent, verifiable process. A crucial leap toward building reliable, clinician-aligned AI systems! ✅ 🔗 Full Abstract & Paper: arxiv.org/abs/2603.27820 [8/9]

🚨 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗹𝗲𝗿𝘁! 🚨 How can we ensure AI doesn't just guess diagnoses, but actively tests them like a real doctor? @UIUC presents 𝗮 𝗰𝗼𝘂𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝘁𝘂𝗮𝗹 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝘁𝗵𝗮𝘁 𝗲𝘅𝗽𝗹𝗶𝗰𝗶𝘁𝗹𝘆 𝘁𝗲𝘀𝘁𝘀 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗵𝘆𝗽𝗼𝘁𝗵𝗲𝘀𝗲𝘀 𝘂𝘀𝗶𝗻𝗴 "𝘄𝗵𝗮𝘁 𝗶𝗳" 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀. By @youzhiwen_, Xi Chen, @AniketVashisht8 , Simo Du, Gabriel Erion-Barner, Hongyuan Mei, @haopeng_uiuc and @YueGuo10 Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels! YouTube: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI YouTube Deep Dive: youtu.be/PObTfFUFls4 YouTube Shorts: youtube.com/shorts/hZGWpju… Spotify: open.spotify.com/show/4edRuSTOu… Here's why it's exciting: 👇🧵 1/9 #MedicalAI #Healthcare #ClinicalReasoning #LLMs [1/9]

9/9 For daily insights into Medical AI breakthroughs: 💬 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: discord.gg/A5Fjf5zC69 📝 𝗦𝘂𝗯𝘀𝘁𝗮𝗰𝗸: @OpenlifesciAI" target="_blank" rel="nofollow noopener">substack.com/@OpenlifesciAI 📺 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI 🎧 𝗦𝗽𝗼𝘁𝗶𝗳𝘆: open.spotify.com/show/4edRuSTOu… #MedicalAI #Innovation #HealthTech #FutureOfMedicine ##MedicalAI ##Innovation ##HealthTech ##FutureOfMedicine [9/9]

𝟴/𝟵 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 LEMON establishes a new paradigm for cell-level computational pathology. By successfully applying self-supervised learning to millions of small nuclear crops, it provides versatile, robust, and biologically meaningful representations that pave the way for scalable single-cell studies in cancer research. 🔗 Full Abstract & Paper: arxiv.org/abs/2603.25802 [8/9]

🚨 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗹𝗲𝗿𝘁! 🚨 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝘂𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗼𝗳 𝘀𝗶𝗻𝗴𝗹𝗲-𝗰𝗲𝗹𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗶𝗻 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗽𝗮𝘁𝗵𝗼𝗹𝗼𝗴𝘆 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗿𝗲𝗹𝘆𝗶𝗻𝗴 𝗼𝗻 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗺𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀? @InstitutCurie presents 𝗟𝗘𝗠𝗢𝗡: 𝗔 𝘀𝗲𝗹𝗳-𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝘀𝗶𝗻𝗴𝗹𝗲-𝗰𝗲𝗹𝗹 𝗶𝗺𝗮𝗴𝗲 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. By Loïc Chadoutaud, Alice Blondel, Hana Feki, @JFontugne , Emmanuel Barillot and @ThomasW04410315 Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels! YouTube: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI YouTube Deep Dive: youtu.be/XiE4u4100gU YouTube Shorts: youtube.com/shorts/9NYV19W… Spotify: open.spotify.com/show/4edRuSTOu… Here's why it's exciting: 👇🧵 1/9 #MedicalAI #Healthcare #ComputationalPathology #SingleCell ##MedicalAI ##Healthcare ##ComputationalPathology ##SingleCell [1/9]

9/9 For daily insights into Medical AI breakthroughs: 💬 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: discord.gg/A5Fjf5zC69 📝 𝗦𝘂𝗯𝘀𝘁𝗮𝗰𝗸: @OpenlifesciAI" target="_blank" rel="nofollow noopener">substack.com/@OpenlifesciAI 📺 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI 🎧 𝗦𝗽𝗼𝘁𝗶𝗳𝘆: open.spotify.com/show/4edRuSTOu… #MedicalAI #Innovation #HealthTech #FutureOfMedicine ##MedicalAI ##Innovation ##HealthTech ##FutureOfMedicine [9/9]

𝟴/𝟵 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 Cerebra represents a major leap forward in medical AI, moving from opaque, static models to an interpretable, interactive multi-agent team. By empowering clinicians to contextualize multimodal risk at the point of care, it significantly improves diagnostic accuracy and trust in AI systems. ✅ 🔗 Full Abstract & Paper: arxiv.org/abs/2603.21597 ##MachineLearning ##Dementia [8/9]

🚨 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗹𝗲𝗿𝘁! 🚨 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲𝗹𝘆 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗮𝗻𝗱 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗲 𝗱𝗲𝗺𝗲𝗻𝘁𝗶𝗮 𝘂𝘀𝗶𝗻𝗴 𝗺𝗲𝘀𝘀𝘆, 𝗶𝗻𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲, 𝗮𝗻𝗱 𝗺𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮? @Stanford presents 𝗖𝗲𝗿𝗲𝗯𝗿𝗮: 𝗮𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗔𝗜 𝘁𝗲𝗮𝗺 𝗳𝗼𝗿 𝗺𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗱𝗲𝗺𝗲𝗻𝘁𝗶𝗮 𝗰𝗵𝗮𝗿𝗮𝗰𝘁𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻. By @ShengLiu_ , @JacKy_Clong , Zeyun Zhao, Qinglin Gou, Qingyue Wei, Arjun Masurkar, Kevin M Spiegler, Philip Kuball, Stefania C Bray, @mm_bernath , Deanna R Willis, Jiang Bian, @lx2015 , @EricTopol , @kchonyc , Yu Huang, @RuoguFang , @narges_razavian , @james_y_zou Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels! • YouTube: @OpenlifesciAI" target="_blank" rel="nofollow noopener">youtube.com/@OpenlifesciAI • YouTube Deep Dive: youtu.be/4Lxf2StywjA • YouTube Shorts: youtube.com/shorts/De2NfB0… Spotify: open.spotify.com/show/4edRuSTOu… Here's why it's exciting: 👇🧵 1/9 #MedicalAI #Healthcare #Neurology #AgenticAI ##MedicalAI ##Healthcare ##Neurology ##AgenticAI [1/9]