Decoding genetics with OpenAI o1
Geneticist Catherine Brownstein demonstrates how OpenAI o1 can speed up the process of diagnosing rare medical challenges.
Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.
Geneticist Catherine Brownstein demonstrates how OpenAI o1 can speed up the process of diagnosing rare medical challenges.
César de la Fuente’s laboratory employs Codex and ChatGPT to explore both living and extinct genomes in search of novel antimicrobial molecules. By leveraging these AI tools, the team aims to identify candidates that could help combat drug‑resistant infections.
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.
Introducing a new, unifying DNA sequence model that advances regulatory variant-effect prediction and promises to shed new light on genome function — now available via API.
arXiv:2609.13437v1 Announce Type: new Abstract: Scientific research is a continuous process that emphasizes inheritance. Methods developed by predecessors are often expanded upon by new researchers t...
OpenAI introduces GPT-Rosalind, a frontier reasoning model built to accelerate drug discovery, genomics analysis, protein reasoning, and scientific research workflows.
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy.
Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.
AlphaGenome Atlas is a comprehensive resource that maps the molecular effects of 9 billion single‑letter DNA variants across the human genome. It provides a predictive map of how every possible DNA letter change could influence biological function. The atlas offers researchers a detailed view of variant impacts at an unprecedented scale.
arXiv:2608. 07250v1 Announce Type: cross Abstract: Confirmed oncogenic microbes contribute significantly to cancer burden.
arXiv:2608. 06779v1 Announce Type: cross Abstract: Large Language Models (LLMs) have accelerated drug discovery, particularly in the automated design of antimicrobial peptides (AMPs).
arXiv:2502. 18864v2 Announce Type: replace Abstract: Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation.