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Research & Methodology

Biomedical AI research, AI-for-science methods, benchmarks, evaluation, safety, validation, source policy, and editorial methodology.

Biomedical AI methods, evaluation, and validation

Biomedical AI research and validation illustration
Nature Machine IntelligencePublished

From virtual experiments to biomedical insight with synthetic data

Nature Machine Intelligence, Published online: 11 June 2026; doi:10.1038/s42256-026-01244-6 Synthetic datasets are becoming crucial for the development of biomedical machine learning models. Victoriano et al. discuss the persistent simulation-to-reality gap that limits how well s

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Microsoft Research AIPublished

Talos: Scaling rare disease diagnosis with automated, iterative genomic reanalysis

<p>Talos was built to help resolve a major bottleneck in genomic medicine: human review time. The open-source system recovered 90% of in-scope diagnoses while surfacing just 1.3 candidate variants per patient for expert review. </p> <p>The post <a href="https://www.microsoft.com/en-us/research/blog/talos-scaling-rare-disease-diagnosis-with-automated-iterativ…

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Google ResearchPublished

Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

Data Management

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Biomedical AI research and validation illustration
Google ResearchPublished

A New Era of Discovery: Google Research at I/O 2026

General Science

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Biomedical AI research and validation illustration
Microsoft Research AIPublished

Data Formulator 0.7: AI-powered data analytics for enterprise data

<p>Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights.</p> <p>The post <a…

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