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The Biocomputing Revolution.

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Substack
PricingOnly free issuesPublishesWeekly
Issues67Founded5 years agoLast Issue4 months ago
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Latest Issues

scBench: Can AI Agents Analyze Real-World Single-Cell Data?

Agents for biology are still stuck in the demo-to-deployment gap. With SpatialBench, we showed that frontier models struggle to extract biological insight from spatial transcriptomics data. But spatial is only part of the story. Single-cell...

4 months ago
23

SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?

Agents for biology are stuck in the “demo-to-deployment” gap. They can look impressive in curated examples, but without realistic, verifiable benchmarks, it’s hard to tell if we’re making progress or building toys .

Full Benchmark Accuracy...

5 months ago
29
1

agent.bio

We’re releasing agent.bio: an interactive sandbox with access to five demo flows, each tailored to specific spatial biology technology: Takara Seeker, Vizgen MERFISH, AtlasXOmics DBiT-seq, 10X Xenium and 10X Visium.

Try it here: agent.bio...

6 months ago
41

SpatialBench: real world tasks for spatial agents

Agents are starting to work for spatial data analysis, but it’s often unclear how to measure their performance on real world tasks or rigorously compare different systems. Introducing SpatialBench, a suite of 98 dataset/eval packs construct...

6 months ago
37
1

Agents for Spatial Biology

The core driver of exponential data generation in biology are new kits and machines that measure molecules with increasing throughput. Spatial biology experiments are particularly representative, allowing scientists to look at the RNA, prot...

7 months ago
32
2

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  • Kenny Workman

    Co-Founder + CTO @ LatchBio

  • Hannah Le
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