Case studies in autonomous scientific analysis
Each study addresses a real question a scientist or strategy team is trying to answer, and shows how Hydra plans, executes, and validates the analysis on public data. Illustrative, non-proprietary, and repointable to your own target.
- Molecule design
Designing better ADCs
Most ADCs against the same target fail. We find the engineering levers that make one best-in-class.
Read case study - Target discovery
Combinatorial therapy
Billions of gene pairs, no lab can test them all. We shortlist the handful worth running.
Read case study - Safety & translational
Safety signals in combinations
Two effective drugs can stack toxicities. We score which combinations actually stay safe.
Read case study - Competitive intelligence
Portfolio monitoring
Competitive landscapes go stale in weeks. We keep a live, subtype-level read you can re-run.
Read case study - Strategy & defensibility
Portfolio strategy
Costs keep rising while approvals don't. We turn your data into a compounding moat.
Read case study - Translational research
Augmenting in vivo studies
Over 90% of mouse results fail in humans. We de-risk a candidate before you run the study.
Read case study - Interpretable AI
Explainable networks & LLMs
Explainable models are still too complex to act on. We surface the target and a repurposing lead.
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