Use Cases

Where evidence-ranked targeting makes the biggest difference

Avenzo serves oncology discovery teams at the moments when a decision about which target to advance carries the highest long-term consequence.

Use Case 1

Initial target prioritization at program start

When a discovery team begins a new solid-tumor program, the starting target list often contains 8 to 30 candidates with varying evidence depth. Evaluating each one manually across preclinical, clinical context, and computational sources takes weeks and introduces individual analyst bias.

Avenzo delivers a structured, tier-weighted ranking of the full candidate list within a single analysis run. Teams use the ranked output to allocate experimental capacity to the top-ranked targets first, without spending weeks building the evidence case manually.

Typical starting list size

8 to 30 candidates

Use Case 2

Portfolio advancement decisions

Portfolio review meetings require teams to defend target advancement decisions with more than internal conviction. Reviewers ask whether the evidence base is sufficiently deep to justify the resource commitment.

Avenzo provides an externally consistent evidence summary that teams can present alongside their internal analysis. The per-dimension breakdown shows where evidence is strong and where gaps exist, supporting a more structured conversation about advancement risk.

Key output

Per-dimension evidence breakdown with confidence tier

Use Case 3

Identifying evidence gaps before committing bench time

A target that scores high on preclinical literature but low on clinical context alignment represents a specific risk profile: the mechanistic hypothesis is supported, but the translational evidence is thin. Recognizing this before committing to an expensive model system changes how the team designs the next experiment.

Avenzo's per-dimension breakdowns make evidence gaps explicit. Teams use this to design targeted gap-filling experiments, rather than discovering the gap after months of bench work in the wrong direction.

Outcome

Experiments designed to fill identified evidence gaps, not repeat supported territory

Apply to Your Program

Run your current target list through the Avenzo engine

Early-access teams receive a full analysis run on their target list with a structured evidence report and a one-hour debrief session with the Avenzo team.