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Machine learning : nature.com subject feeds

Machine learning : nature.com subject feeds

AI
更新于 2026-05-15 01:28 共 30 条
  1. 1 AUBADE-syn: a novel deep learning ensemble method for glaucoma detection using synthetic fundus images on imbalanced datasets
  2. 2 AI can design viruses, toxins and other bioweapons. How worried should we be?
  3. 3 Can AI tools assess coding assignments?
  4. 4 What’s your hypothesis?
  5. 5 Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer
  6. 6 Estimating genotype-tissue specific gene expression using hybrid deep learning
  7. 7 The hunt for the next antibiotics
  8. 8 State media control shapes LLM behaviour by influencing training data
  9. 9 Engineering proteins with Sequence Display
  10. 10 Whole mouse mapping
  11. 11 Critical evaluation of drug response prediction models with DrEval
  12. 12 How to vibe code in science: early adopters share their tips
  13. 13 Local graph estimation with pathwise false discovery control
  14. 14 Towards the explainability of protein language models
  15. 15 The Aloe Family recipe for open and specialized healthcare LLMs
  16. 16 Scaling and quantization of a foundational deep learning model for network biology
  17. 17 AI-powered evaluation of dementia severity based on clinical data and visual scoring systems (MTA, ERICA, GCA) from MRI
  18. 18 Federated learning with swarm intelligence for efficient and secure medical image analysis
  19. 19 Direct carbapenemase typing from disc diffusion antibiograms with MALCA (MAchine Learning CArbapenemase)
  20. 20 A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale
  21. 21 RNA design across eras: from covariance models to modern generative AI
  22. 22 Artificial intelligence for predicting transient hypocalcemia after total thyroidectomy
  23. 23 Non-invasive profiling of the tumour microenvironment with spatial ecotypes
  24. 24 $${bf{Micro}}{{mathbb{S}}}{bf{plit}}$$ Micro S plit : semantic unmixing of fluorescent microscopy data
  25. 25 Seesaw signatures capture trajectory-like transcriptomic shifts and enable compact tumour cell classification across cancers
  26. 26 Responses to the AI grant flood must prioritize fairness as part of excellence
  27. 27 AI agents in research: when productivity comes at the cost of apprenticeship
  28. 28 Hierarchical dynamic model for risk-stratified screening of nasopharyngeal carcinoma
  29. 29 These powerful tools reveal the ‘control knobs’ of the genome
  30. 30 Inference of latent epidemic regimes and generative simulations reveal how inequality and mobility shape COVID-19 transmission