Microsoft Research has introduced Quine, a multimodal biology world model designed to integrate data across proteins, cells, tissues, and genomes with an interactive tool layer and orchestration models to guide experimental design rather than replace lab work.

Quine aims to connect data across genomics, proteins, chemistry, RNA, cell state, and bioimaging by training a single world model that learns joint representations for cross-modal reasoning and predictions.

The project seeks to build a multimodal biology model and a harness that links the model to tools, literature, wet-lab work, and scientists to accelerate discovery.

Early reporting suggests Quine speeds up decision-making by narrowing candidate options over a single weekend, potentially saving months of lab work and costs.

The first Quine Fellows cohort is open to PhD candidates, postdocs, and researchers for a 16-week fellowship in 2027, with access to resources and potential research support; applications run from late September to early November 2026, targeting a June to September 2027 program.

The system is designed to improve experimental design by proposing, ranking, and prioritizing hypotheses for lab testing, while accepting imperfect models that still provide useful guidance.

A PDAC-focused program, Project Ex Vivo, supported by the Broad Institute and Dana-Farber, used Quine to identify compounds driving tumor cell-state changes and test predictions in patient-derived ex vivo models.

Quine is intended to forecast how biological states change under interventions and reason through downstream consequences, enabling researchers to rank and prioritize experiments and compounds before wet-lab validation.

Quine emphasizes an iterative discovery loop where experiments improve the model and the model informs future experiments, under safety, ethics, and responsible stewardship during phased access.

Quine is described as experimental research technology, not for clinical use, with phased access beginning via the Fellows program and select collaborations and plans to expand toward broader products like Microsoft Discovery.

The Quine Fellows program invites researchers to access the system to accelerate work and provide feedback, with future access expansion through products as the technology matures.

Microsoft notes that Quine is experimental and not suitable for clinical or medical use at this stage, and outputs require review by qualified researchers.