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On this page
  • Biotechnology
  • Nvidia Evo 2 Protein Design
  • AlphaFold 3
  • Medical
  • FDA Elsa
  • Google Med Gemini
  • Google Rad Explain
  • Agent Hospital
  • Toward robust mammography-based models for breast cancer risk
  • Generative AI in healthcare: Adoption trends and what’s next

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  1. Industries & Cases

Biotechnology and Medicine

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Last updated 3 days ago

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AI has long been deeply applied in the fields of biology and healthcare, with examples like the once-popular IBM Watson AI for medical imaging. The recent explosive advancements in AI have propelled its applications in biotechnology and healthcare to new heights.

Biotechnology

Nvidia Evo 2 Protein Design

NVIDIA's introduces Evo 2, a cutting-edge biomolecular AI model designed to accelerate drug discovery and advance biological research through generative design and protein optimization.

AlphaFold 3

AlphaFold 3, developed by Isomorphic Labs and Google DeepMind, predicts the structure and interactions of all life’s molecules with unprecedented accuracy. It models large biomolecules like proteins, DNA, and RNA, as well as small molecules (ligands), enabling insights into biological processes and accelerating drug discovery. The new AlphaFold Server, free for non-commercial research, allows scientists to use these capabilities. This model significantly improves upon previous methods, with potential applications in genomics, drug design, and more resilient crops.

Updates:

Google DeepMind releases code behind its most advanced protein prediction program


Medical

FDA Elsa

Google Med Gemini

Google Rad Explain

Google has just launched Rad Explain, a Hugging Face Space that utilizes its MedGemma model to translate complex radiology reports into clear, patient-friendly language, enhancing medical communication and accessibility.

Agent Hospital

The paper introduces "Agent Hospital," a simulated hospital environment where autonomous agents, powered by large language models, interact to emulate the complete medical treatment process, enabling doctor agents to learn and improve their medical decision-making through experience.

Toward robust mammography-based models for breast cancer risk

Generative AI in healthcare: Adoption trends and what’s next

For more information, visit .

Link:

Check the paper here:

https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/
Isomorphic Labs
https://github.com/google-deepmind/alphafold3
https://www.forbes.com/sites/talpatalon/2024/05/01/med-geminis-lions-roar/?sh=10e5238e3d72
https://huggingface.co/spaces/google/rad_explain
https://arxiv.org/pdf/2405.02957
https://www.science.org/doi/10.1126/scitranslmed.aba4373
https://www.mckinsey.com/industries/healthcare/our-insights/generative-ai-in-healthcare-adoption-trends-and-whats-next?stcr=E799236F2D7C484E910351C388FE9666&cid=other-eml-alt-mip-mck&hlkid=f759c8cfc8fa41c6b99c4ea7516838cc&hctky=14836052&hdpid=283e3e66-d07b-44c4-8536-778c820af02f
https://blogs.nvidia.com/blog/evo-2-biomolecular-ai/
AI scans RNA ‘dark matter’ and uncovers 70,000 new virusesnature
https://www.science.org/content/article/google-deepmind-releases-code-behind-its-most-advanced-protein-prediction-programwww.science.org
FDA, facing 4% budget cut, launches generative AI tool Elsa a month ahead of scheduleFierce Biotech
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