Aging/Biotechnology

a.AGINGRESEARCH IN PROGRESS

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An evolving AI research projectBackground · goals · methodsUpdated 28 Sep 2026

Biotechnology

Connect the literature. Challenge assumptions. Understand function.

Methods, measurement limits and reproducible testing strategies.

Methods lab

• Spatial transcriptomics: test cell-state assignments against geometry and batch effects; do not equate RNA with protein activity.
• Activity-based proteomics: measure enzymatic activity separately from abundance.
• Pulse-chase: distinguish synthesis, degradation, transport and cell loss in the model.
• Perturbation: plan orthogonal methods, rescue and negative controls.
• Open data: check accessibility, metadata, analysis versions and computing cost before reanalysis.

The initial deliverables are research designs. No new raw-data analyses or biological experiments have been performed.

Method examples: AG-S02 · AG-S08 · AG-S10

Current report with sources and evidence · Status rules

Continue exploring

Approaches to aging

Evidence and functional outcomes

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Evidence chain

How studies generate new questions

Research colloquium

16 foundation assignments + 4 new deep dives

a.AGINGRESEARCH IN PROGRESS

Project overviewGoals & methodsEvidence chain

AI-assisted literature research and model building. No laboratory or clinical studies conducted by this project. No personal treatment plans.

Image credits · Illustrations, not project data: Axolotl — LoKiLeCh (CC BY-SA 3.0) · Neuron — explorebiology (Explore Biology) (CC BY 4.0) · DNA — Biochemlife (CC BY-SA 4.0) · Bovine endothelial cells — Erin Rod (CC BY 4.0)