Life Sciences
Use GPT-Rosalind to accelerate scientific research and drug discovery.
GPT-Rosalind, our frontier reasoning model, is built to support research across biology, drug discovery, and translational medicine. This life sciences model series is optimized for scientific workflows, combining improved tool use with deeper understanding across chemistry, protein engineering, and genomics. Right now, GPT-Rosalind is available as a research preview in ChatGPT, Codex, and the API for qualified users through our trusted access program.
Use ChatGPT Work or Codex for scientific research and analysis. ChatGPT can apply GPT-Rosalind and scientific plugins to shared research workflows; use Codex when the work requires code, a repository, benchmarks, or iterative software experiments.
Life Sciences Research & Analysis
Use ChatGPT to transform sequencing data into actionable biological insights, from bulk and single-cell RNA-seq analysis to multi-source target prioritization.
- https://developers.openai.com/codex/use-cases/target-prioritization
- https://developers.openai.com/codex/use-cases/bulk-rna-seq-fastq-qc
- https://developers.openai.com/codex/use-cases/scrna-seq-post-count-qc
Protein Folding Research & Architecture Search
Use Codex to turn protein-folding hypotheses into reviewable experiment loops with explicit benchmarks, durable artifacts, and clear evidence boundaries.