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Integrating disease context into molecular generation, DrugGen-2 outperforms existing models, yielding drug candidates with superior binding affinities.
You can extract clinical features from low-resource languages with surprisingly high accuracy (F1 > 0.89) by pairing a translation model with off-the-shelf small language models, even without fine-tuning.
Generative AI can now design AAV capsids with enhanced kidney targeting, thermostability, and production fitness, opening new avenues for precision gene therapy.
