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.
Uniting biological toolkits for a new approach to ALS
Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.
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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 AI
Jun 9
The Montparnasse Algorithm for RNA Design
arXiv:2606. 07562v1 Announce Type: cross Abstract: RNA design consists of discovering a nucleotide sequence that optimizes predefined criteria, such as secondary structure.
DeepMind Blog
Nov 25, 2025
AlphaFold: Five years of impact
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
arXiv AI
Jul 21
A Benchmark for Early-stage Parkinson's Disease Detection from Speech
arXiv:2605. 14066v2 Announce Type: replace-cross Abstract: Early-stage Parkinson's disease (EarlyPD) detection from speech is clinically meaningful yet underexplored, and published results are hard to compare because studies differ in datasets, languages, tasks, evaluation protocols, and EarlyPD definitions.
arXiv AI
Jun 16
Unifying Acoustic Features and Text with Multimodal LLMs for Neurodegenerative Screening
arXiv:2606. 14788v1 Announce Type: cross Abstract: Voice-based screening offers a scalable and non-invasive way to assess neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD), but their staging remains challenging due to the difficulty of integrating heterogeneous data.
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 Machine Learning
Jul 28
SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing
arXiv:2607. 23821v1 Announce Type: new Abstract: Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology.
arXiv Machine Learning
Jul 17
A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization
arXiv:2607. 14190v1 Announce Type: new Abstract: Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use, remains challenging.
arXiv Machine Learning
Aug 7
MS-MLB: An Open Machine Learning Benchmark for Blood-Based MS Classification
arXiv:2608. 05196v1 Announce Type: new Abstract: Multiple sclerosis (MS) is diagnosed through clinical assessment, magnetic resonance imaging, laboratory evidence when appropriate, and exclusion of better explanations.
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 AI
Jul 1
Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images
arXiv:2606. 31394v1 Announce Type: cross Abstract: Artificial intelligence is transforming our capability to solve biological challenges.