Topic Modeling
Moving in medRxiv, bioRxiv, eLife, Nature Biotechnology and Nature Computational Science.
- Moved, week to 23 Oct 2026
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- Papers in 60 days
- 11
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Latest in Topic Modeling
Newest first · last 60 days
The Multimodal Anonymizer achieves near-complete deidentification of multimodal hospital data with over 98% sensitivity and preserves critical clinical information at rates above 99%.
- Open access
A ReAct agentic AI system achieves 93.4% accuracy in natural language querying and analysis of TCGA clinical data, surpassing rule-based and LLM baselines.
- Open access
Large language models can serve as human proxies in four distinct roles, each supporting different scientific claims and requiring unique validity criteria.
Larger transformer-based language models more accurately predict neural activity, with performance peaking in earlier layers as model size increases, across brain regions.
- Open access
Novel document-level uncertainty aggregation strategies significantly improve active learning performance in ontology curation, with KPSum showing consistent gains over random sampling.
- Open access
- 1 cites
CIViC-Fact reveals that less than 30% of cancer variant claims can be fully validated from abstracts alone, emphasizing the need for full-text evaluation in biomedical verification.
- Open access
- 2 cites
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Journals this month
- bioRxiv6157
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- PNAS447
- Sci Adv354
- JAMA262
- Environ Res230
- BMJ182
- Environ Pollution165
- Nat Commun161
- Science141
- Nature138
- Lancet128
- Cell Rep120
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- mBio107
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- Curr Biol106
- J Exp Bot106
Topics moving, week to 23 Oct 2026
- Single-cell and spatial transcriptomics6
- Neuroinflammation and Neurodegeneration Mechanisms5
- Bacteriophages and microbial interactions5
- Gut microbiota and health5
- Genomics and Phylogenetic Studies4
- Cancer Genomics and Diagnostics4
- Cancer Immunotherapy and Biomarkers4
- Alzheimer's disease research and treatments3
- Inflammatory Bowel Disease3
- Influenza Virus Research Studies3