DeepMind Blog
May 18
Fast-tracking genetic leads to reverse cellular aging
Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.
Opening new paths in aging research
Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.
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arXiv AI
Jul 24
Scientific exploration, collaboration and labor division in the large language model era
arXiv:2607. 20923v1 Announce Type: cross Abstract: Large language models (LLMs) have rapidly and significantly entered scientific workflows, but it remains unclear how their diffusion is associated with changes in scientists' strategies in research directions and team building.
OpenAI Blog
Aug 22, 2025
Accelerating life sciences research
Discover how a specialized AI model, GPT-4b micro, helped OpenAI and Retro Bio engineer more effective proteins for stem cell therapy and longevity research.
DeepMind Blog
May 12
Co-Scientist: A multi-agent AI partner to accelerate research
Introducing Co-Scientist, a collaborative AI partner built with Gemini to help researchers accelerate scientific breakthroughs.
arXiv AI
Sep 21
Gricea: An Open Science Platform for Conversational AI Research
Gricea is an open‑science platform that represents conversational AI studies as configurable, deployable artifacts, allowing researchers to run, inspect, share, and reuse them. A replication effort using Gricea successfully reproduced 93% of eligible CUI 2026 papers and identified missing details in 96% of papers, highlighting the platform’s necessity. A user study showed that researchers and practitioners from diverse backgrounds could construct runnable studies on various open‑ended questions, demonstrating Gricea’s role in facilitating reproducibility and cumulative knowledge building in conversational AI research.
OpenAI Blog
Apr 16
Introducing GPT-Rosalind for life sciences research
OpenAI introduces GPT-Rosalind, a frontier reasoning model built to accelerate drug discovery, genomics analysis, protein reasoning, and scientific research workflows.
arXiv AI
Sep 7
Model Retirement Creates Reproducibility Risk in Biomedical AI Publications
The study examined biomedical research articles from 2022 to March 2026 that employed large language models (LLMs). It found that 42% of the most frequently used models were already retired or scheduled to retire within two years of publication, with a median retirement interval of 538 days. This high rate of model deprecation threatens the reproducibility of biomedical AI research.
Microsoft Research
5d ago
Introducing Quine: An AI research system designed for the complexity of biology
Microsoft Research introduces Quine, an early‑stage AI research system that builds a multimodal world model of biology. By linking insights across different biological scales and modalities, Quine enables scientists to computationally explore a much larger hypothesis space than intuition alone would allow. Experimental results feed back into the system, helping researchers refine future research directions.
arXiv AI
Aug 5
Towards a new paradigm of scientific discovery with socialized artificial intelligence
arXiv:2608. 02775v1 Announce Type: new Abstract: Scientific discovery has advanced through successive transformations in the organization of knowledge.
OpenAI Blog
Jun 3
Introducing new capabilities to GPT-Rosalind
GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities.
OpenAI Blog
Jun 17
Introducing LifeSciBench
Introducing LifeSciBench, an expert-authored, expert-reviewed benchmark for evaluating how AI systems handle real-world life science research tasks and decisions.
DeepMind Blog
May 16
Accelerating discovery of liver disease mechanisms
Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.