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OpenAI on Thursday launched GPT-Rosalind, a new artificial intelligence model tailored for life sciences, as it expands its footprint in scientific research and drug discovery.

Key highlights

  • OpenAI introduces GPT-Rosalind for life sciences
  • Model focuses on drug discovery and biochemistry
  • Supports hypothesis generation and research planning
  • Available via ChatGPT, Codex and API
  • Partnerships include Amgen, Moderna and Thermo Fisher

Built for scientific discovery

Named after Rosalind Franklin, the model is designed to assist researchers across biochemistry, translational medicine and pharmaceutical development.

GPT-Rosalind aims to support complex workflows including evidence synthesis, hypothesis generation and experimental planning.

Growing demand for AI in research

The launch comes amid rising demand for AI-driven tools across pharmaceutical companies, biotech firms and academic institutions seeking to speed up early-stage discovery.

The model allows users to query scientific databases, analyse research papers and propose new experiments.

Integration and availability

GPT-Rosalind is being rolled out as a research preview across ChatGPT, Codex and OpenAI’s API for selected users.

The company also introduced a free life sciences plugin for Codex, connecting researchers to dozens of scientific tools and datasets.

Industry collaborations

OpenAI said it is working with companies including Amgen, Moderna and Thermo Fisher Scientific to integrate the model into real-world research workflows.

Broader AI push

The announcement follows OpenAI’s recent unveiling of GPT-5.4-Cyber, a specialised model focused on cybersecurity applications, as competition intensifies in advanced AI development.

What happens next

OpenAI is expected to expand access to GPT-Rosalind while refining its capabilities based on feedback from research partners.

FAQs

Q1: What is GPT-Rosalind?
An AI model designed for life sciences research and drug discovery.

Q2: What can it do?
It helps with hypothesis generation, experiment planning and analysing scientific data.

Q3: Who can use it?
Currently available to selected users via ChatGPT, Codex and API.

Q4: Why is it important?
It could significantly accelerate early-stage scientific research and innovation.


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