DeepMind Blog
May 16
Opening new paths in aging research
Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.
Fast-tracking genetic leads to reverse cellular aging
Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.
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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.
arXiv Machine Learning
Jul 9
Trajectory Inference of Human Aging from Cross-Sectional DNA Methylation Data
arXiv:2607. 06583v1 Announce Type: cross Abstract: DNA methylation (DNAm) serves as one of the most robust molecular biomarkers of biological aging.
DeepMind Blog
May 16
Uncovering repurposed medicines to fight liver fibrosis
Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.
arXiv AI
Jun 26
scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
arXiv:2606. 26563v1 Announce Type: cross Abstract: Single-cell studies require analysts to convert raw measurements into specific biological claims through multi-step workflows and integration of metadata, assay context, and auxiliary evidence.
arXiv Machine Learning
Jul 22
PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects
arXiv:2607. 18777v1 Announce Type: new Abstract: Evaluating machine learning in scientific domains requires separating correct predictions from correct reasons under realistic distribution shifts.
arXiv AI
Jun 30
Accelerating scientific discovery with Co-Scientist
arXiv:2502. 18864v2 Announce Type: replace Abstract: Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation.
arXiv Machine Learning
Jun 3
scBatchProx: Federated-Inspired Refinement for Stable Cell-Type Discriminability under Heterogeneous Batch Compositions
arXiv:2602. 00423v3 Announce Type: replace Abstract: Single-cell integration workflows often construct low-dimensional cell embeddings and then refine them with post-hoc methods to reduce batch effects.
DeepMind Blog
May 16
Finding the molecular switches behind new infectious diseases
Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.
arXiv AI
Jun 11
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
arXiv:2605. 00545v2 Announce Type: replace-cross Abstract: Inferring cellular trajectories from destructive snapshots is complicated by the challenges of stochasticity and non-conservative mass dynamics such as cell proliferation and apoptosis.
arXiv AI
Jul 23
Making Single-Cell Data Distillation Auditable: Traceable Real-Cell Coresets via Discrete Min-Max Selection
arXiv:2607. 19426v1 Announce Type: cross Abstract: Single-cell datasets are increasingly costly to store, audit, and reuse for model training.
arXiv Machine Learning
Jun 9
scCBGM: Interpretable Single-Cell Counterfactual Editing
arXiv:2606. 07760v1 Announce Type: new Abstract: Understanding cellular phenotypes and how they respond to perturbations is critical for disease biology and therapeutic design.