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Weekly Digest
June 2025 · 8 papers curated for you
Introduces a novel transformer-based approach that improves resolution of cryo-EM density maps by 15%, enabling more accurate atomic model building.
Directly relevant to your work on deep learning for structural biology.
Proposes a contrastive learning framework that reduces the computational cost of MD simulations by 3x while maintaining accuracy.
Aligns with your interest in ML-accelerated molecular simulations.
Comprehensive evaluation of GPT-4, Claude, and domain-specific models on biomedical NER, relation extraction, and summarization tasks.
Relevant to your NLP research applied to scientific literature.
+ 5 more papers in the full digest
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