- Who is this for?
- Researchers and practitioners in AI drug discovery, computational biology, and protein design. If you work on AIDD, molecular generation, protein engineering, genomic modeling, or related areas, this is directly relevant. Each brief starts with the biology/chemistry problem before diving into the AI method.
- How is this different from general AI news?
- Most AI coverage focuses on general-purpose AI. Biomedicine papers get lost in the noise. MindDance focuses exclusively on AI + life sciences, sourcing from arXiv (8 categories) and bioRxiv (9 collections) daily. Papers are scored across 8 signals including institutional background, top venues, domain relevance, and code availability.
- How are papers selected?
- Fully automated scoring + AI-generated analysis. We collect from arXiv core categories (q-bio.*) + extended categories (cs.LG/AI with keyword pre-filtering) + bioRxiv daily. Papers are scored across 8 signal types — institution (80+ top labs), venue, domain relevance, code availability, and more. Full methodology is public.
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