Open Life Science AI

Daily tweets: Latest Medical LLMs, Datasets, Benchmarks, and Top Research Papers ⚡ Life Science AI

[Open Life Science AI @OpenlifesciAI]

Open Medical -LLM Leaderboard with Hugginface collaboration ⚡🚀🧬

[Aaditya Ura @aadityaura]

Exciting news! 📢 In collaboration with Hugging Face 🤗, we are launching the Medical-LLM Leaderboard. This leaderboard aims to provide a standardized platform for evaluating large language models in the medical domain.

It's encouraging to see tech companies like Google, Microsoft, and OpenAI, have already adopted our benchmarks to evaluate their models. With the support of Hugging Face, we are now making this leaderboard accessible to the wider community. 🔥

https://t.co/IYChLJhOME

[Open Life Science AI @OpenlifesciAI]

22/22 For daily insights into Medical AI breakthroughs:
💬 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: https://t.co/l5z6y6CC2k
📝 𝗦𝘂𝗯𝘀𝘁𝗮𝗰𝗸: https://t.co/lbU9nDCLLl
📺 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: https://t.co/24gS2i3UyZ
🎧 𝗦𝗽𝗼𝘁𝗶𝗳𝘆: https://t.co/r8IOqk05Zs

#MedicalAI #Innovation #HealthTech #FutureOfMedicine

[22/22]

[Open Life Science AI @OpenlifesciAI]

[1/22]🧠📢 𝗟𝗮𝘀𝘁 𝗪𝗲𝗲𝗸 𝗶𝗻 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 (𝗝𝘂𝗻𝗲 𝟮𝟮–𝟮𝟴, 𝟮𝟬𝟮𝟲)

20 impactful papers categorized for fast reading!

Topics: LLMs, multi-agent systems, benchmarks, image segmentation, proteomics, and AI-driven diagnostics. 👇

🧬 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗟𝗟𝗠 & 𝗢𝘁𝗵𝗲𝗿 𝗠𝗼𝗱𝗲𝗹𝘀

• 𝗕𝗶𝗼𝗠𝗲𝗱𝗩𝗥: 𝗠𝗶𝘅𝘁𝘂𝗿𝗲-𝗼𝗳-𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗳𝗼𝗿 𝗕𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗩𝗶𝘀𝘂𝗮𝗹 𝗥𝗲𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 🔗 https://t.co/BFyFWuuKDi

• 𝗦𝟭-𝗢𝗺𝗻𝗶-𝗜𝗺𝗮𝗴𝗲: 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗜𝗺𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 🔗 https://t.co/0WPgx2wDiL

• 𝗕𝗿𝗮𝗶𝗻𝗔𝗴𝗲𝗻𝘁: 𝗟𝗟𝗠-𝗗𝗿𝗶𝘃𝗲𝗻 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗕𝗿𝗮𝗶𝗻 𝗦𝗶𝗴𝗻𝗮𝗹𝘀 🔗 https://t.co/1QM0M7qJg8

• 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲-𝗕𝗮𝘀𝗲𝗱 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀 𝗳𝗼𝗿 𝗘𝗹𝗱𝗲𝗿𝗹𝘆 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 🔗 https://t.co/5WF2GjyEqF

🧪 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀

• 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘀𝘁𝗶𝗰 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗲 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗚𝗮𝘂𝘀𝘀𝗶𝗮𝗻 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 🔗 https://t.co/v62RfD2Gff

• 𝗣𝗵𝘆𝘀𝗙𝗹𝗼𝘄: 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗗𝗲𝗰𝗼𝘂𝗽𝗹𝗲𝗱 𝗙𝗹𝗼𝘄 𝗳𝗼𝗿 𝗥𝗲𝗺𝗼𝘁𝗲 𝗣𝗵𝗼𝘁𝗼𝗽𝗹𝗲𝘁𝗵𝘆𝘀𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝘆 🔗 https://t.co/C7uvduGMlI

• 𝗦𝗣-𝗠𝗶𝗻𝗱: 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗣𝗿𝗼𝘁𝗲𝗼𝗺𝗶𝗰𝘀 🔗 https://t.co/JvMsh3yaA4

• 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗶𝗻 𝟯𝗗 𝗠𝗥𝗜 🔗 https://t.co/WfPZQqXLSp

• 𝗗𝗲𝗰𝗶𝗽𝗵𝗲𝗿𝗶𝗻𝗴 𝟯𝗗 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗦𝘂𝗿𝗳𝗮𝗰𝗲𝘀 𝗳𝗼𝗿 𝗘𝗽𝗶𝘁𝗼𝗽𝗲 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 🔗 https://t.co/YVeXDvFuFH

• 𝗔𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗕𝗼𝗹𝘁𝘇𝗺𝗮𝗻𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿𝘀 🔗 https://t.co/YAs50M7pJL

• 𝗜𝗺𝗮𝗴𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿 𝗶𝗻 𝗟𝗮𝘁𝗲𝗻𝘁 𝗦𝗽𝗮𝗰𝗲 🔗 https://t.co/QTk18qfY8z

• 𝗟𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝗡𝗲𝘂𝗿𝗮𝗹 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝟯𝗗 𝗩𝗼𝗹𝘂𝗺𝗲 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 🔗 https://t.co/yUFF8bzNIM

• 𝗡𝗚𝗣𝗦: 𝗦𝗲𝗹𝗳-𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗗𝗲𝗻𝗼𝗶𝘀𝗶𝗻𝗴 𝘃𝗶𝗮 𝗣𝗮𝘁𝗰𝗵 𝗦𝗮𝗺𝗽𝗹𝗶𝗻𝗴 🔗 https://t.co/tZ8He8aIop

• 𝗗𝗶𝘀𝗲𝗮𝘀𝗲-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗩𝗶𝘀𝗶𝗼𝗻-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗲𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝟯𝗗 𝗖𝗧 🔗 https://t.co/nemmYguaoU

• 𝗝𝗼𝗹𝗶𝗮: 𝗩𝗶𝘀𝗶𝗼𝗻-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝟯𝗗 𝗖𝗧 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 🔗 https://t.co/ZP8EJEUVPE

📊 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗟𝗟𝗠𝘀 & 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀

• 𝗕𝗲𝗻𝗰𝗵𝗫: 𝗔𝗜 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗮𝗻𝗰𝗲𝗿 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗕𝗶𝗮𝘀𝗲𝘀 🔗 https://t.co/P5rkso2Ien

• 𝗘𝗛𝗥-𝗖𝗼𝗺𝗽𝗹𝗲𝘅: 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗴𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 🔗 https://t.co/6gKqFYMK4I

• 𝗣𝗛𝗢𝗘𝗕𝗜: 𝗢𝗽𝗲𝗻-𝗪𝗼𝗿𝗹𝗱 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗳𝗼𝗿 𝗕𝗮𝗰𝘁𝗲𝗿𝗶𝗮𝗹 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 🔗 https://t.co/pxo21Cnbx8

🩺 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

• 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗼-𝗔𝗜: 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗲𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝘀 🔗 https://t.co/cfl90HULzr

• 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺 𝗮𝘀 𝗖𝗼𝗺𝗽𝗿𝗲𝘀𝘀𝗼𝗿: 𝗤𝘂𝗮𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 🔗 https://t.co/lgqM8aVA0h

🎙️ 𝗪𝗮𝗻𝘁 𝘁𝗵𝗲 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲?
YouTube Deep Dive: https://t.co/sXG1oW68zq
Spotify: https://t.co/8OHP5OYKrB

𝗙𝗼𝗹𝗹𝗼𝘄 𝗳𝗼𝗿 𝘄𝗲𝗲𝗸𝗹𝘆 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗿𝗼𝘂𝗻𝗱𝘂𝗽𝘀!

📷 𝗥𝗲𝘁𝘄𝗲𝗲𝘁 𝘁𝗼 𝘀𝗽𝗿𝗲𝗮𝗱 𝘁𝗵𝗲 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲.

#MedicalAI #LLM #MachineLearning #HealthcareAI #AIResearch

[Open Life Science AI @OpenlifesciAI]

21/22 𝗝𝗼𝗹𝗶𝗮: 𝗖𝗼𝗻𝗰𝗲𝗽𝘁-𝗟𝗲𝘃𝗲𝗹 𝗩𝗶𝘀𝗶𝗼𝗻-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝟑𝗗 𝗖𝗧 𝗖𝗼𝗻𝘁𝗿𝗮𝘀𝘁𝗶𝘃𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

This paper introduces ConQuer (Concept Queries), a novel image-text pretraining method that augments CLIP's global alignment with concept-specific localized alignments, pooling 3D medical image features without spatial supervision to address detail loss from structured reports. ConQuer trains Jolia, a 3D CT foundation model, which consistently outperforms CLIP baselines on findings classification, report generation, and cross-center transfer, setting a new state-of-the-art across multiple public benchmarks while offering built-in spatial interpretability. Jolia's weights are available at https://t.co/T6cGpSVDSv.

#ConQuer #Jolia #3DMedicalAI #CTFoundationModel #VisionLanguagePretraining #MedicalImaging #SOTA

Paper Link: https://t.co/ZP8EJEUVPE