Download it on HuggingFace now! huggingface.co/google/medgem…

Negreanu Calls Out His Table! After some questionable play near the money bubble on Day 2 of the $10,000 2-7 Lowball Championship, Daniel Negreanu managed to survive with just a few big blinds. @RealKidPoker then doubled up through one of the greatest no-limit hold'em players, @WAFoxen, and Negreanu didn't hold back!

This week, we released a pair of Gemma updates that developers can use to innovate across the healthcare and translation spaces: — MedGemma 1.5 4B: Our updated open medical AI model improves performance in 3D imaging and reasoning over medical records. We also kicked off the MedGemma Impact Challenge on @Kaggle to inspire development of AI applications that can help patients — TranslateGemma: This collection of multimodal open translation models is built on Gemma 3 and enables developers to build translation tools across 55 language pairs. The models are efficiently compact (available in 4B, 12B, and 27B parameter sizes), achieving high-fidelity translation quality with lower latency You can access both Gemma models on @huggingface, MedGemma on Vertex AI, and TranslateGemma on Kaggle. To learn more about Gemma and our latest breakthroughs from @GoogleDeepMind, visit deepmind.google/!

📣 Hackathon Launch Alert! MedGemma Impact Challenge hosted by @GoogleResearch 🎯Build human-centered AI applications by using MedGemma and other open models 💰 $100,000 Prize Pool ⏰ Final Submission: Feb 24, 2026 kaggle.com/competitions/med-…

“Esta IA acabará con los imagenologos” Interpreta TAC, RM e histopatología, cruza hallazgos con el contexto clínico y reportes de laboratorio, y razona en términos de enfermedad, no de pixeles. Si, es el fin, pero del imagenologo saturado. MedGemma es el futuro de la medicina.

Google lanza MedGemma 1.5 (4B), un LLM open para interpretar imágenes médicas CT, MRI e histopatología, además de RX, dermatologí, fondo de ojo…) con burnos resultados. Y lo acompaña además con MedASR, un modelo abierto de speech-to-text clínico (dictado médico).

Introducing the MedGemma Impact Challenge Use MedGemma and other open models to build human-centered applications in the medical space. Over $100k in prizes. Time to build. kaggle.com/competitions/med-…

An updated version of our MedGemma model is out with major accuracy improvements in medical-related tasks. We also released MedASR, which specialized for low error rates for medical speech recognition. We're excited to see what the health community does with these models! 🩺

Google is on a serious roll right now.

MedGemma 1.5 is a major upgrade to our open models for healthcare developers. The new 4B model enables developers to build applications that natively interpret full 3D scans (CTs, MRIs) with high efficiency - a first, we believe, for an open medical generalist model. MedGemma 1.5 also pairs well with MedASR, our speech-to-text model fine-tuned for highly accurate medical dictation. Developers can now use these multimodal capabilities to build medical apps that reach patients in more places.

Announcing MedGemma 1.5 🩺 This updated open model from @GoogleResearch is small enough to run offline, improves performance on medical imaging use cases, and enhances core capabilities for text, medical records and 2D images. research.google/blog/next-ge…

MedGemma is a really interesting model - very small, multimodal, open, and does quite well in out-of-distribution medical tasks compared to much larger models. Would love to see more work thinking about how to improve & deploy this sort of LLM to support medical professionals

The @GoogleDeepMind Gemma family of open models continues to grow! Today we launched T5Gemma a new take for encoder-decoder models and a new multimodal version of MedGemma with a specialized SigLip variant for healthcare. 🚀 T5Gemma: - Adapts Gemma 2 into flexible encoder-decoder models. - Improved quality-to-inference speed trade-off versus decoder-only models. - Flexible 'unbalanced' models to balance input understanding and generation. - 32 open checkpoints released to accelerate research. MedGemma MedSigLip: - Updated text image 27B MedGemma Model - MedGemma best model < 50B on MedQA. - MedSigLip new Image Text Encoder for healthcare. - Open models for full private control or custom fine-tuning.

Check out our state-of-the-art open weights MedGemma multimodal model for making sense of longitudinal EHR data as well as medical text and medical imaging data in various modalities (radiology, dermatology, pathology, ophthalmology, etc.) See the blog post linked below! ⬇️

🏥Introducing MedGemma, part 2, including: 🔥A 27B multimodal MedGemma 👀MedSigLIP, a lightweight image/text encoder for medical image retrieval/classification 📜A technical report with details Blog: research.google/blog/medgemm… Paper: arxiv.org/abs/2507.05201

The MedGemma technical report is out 👇 arxiv.org/pdf/2507.05201

Introducing new models for research & development of health applications: MedGemma 27B Multimodal, for complex multimodal & longitudinal EHR interpretation, and MedSigLIP, a lightweight image & text encoder for classification, search, & related tasks. → goo.gle/4kvt6Uk

The MedGemma collection consists of our most capable open models for health AI development. Today we're announcing two new additions to the collection: MedGemma 27B multimodal and MedSigLIP.

Google released MedGemma on I/O'25 👏 > 4B and 27B instruction fine-tuned vision LMs and a 4B pre-trained vision LM for medicine > available with transformers from the get-go 🤗 they also released a cool demo for scan reading ⤵️

Exciting news from #GoogleIO! We’re introducing MedGemma, our most capable open model for multimodal medical text and image comprehension built on Gemma 3.