Data, AI & CapabilityClinical data review, interpretation & communication strategy
Physician-level review of oncology clinical data, carried from the individual patient to the study-level conclusion, and then into the narrative, figures and presentations that leadership, regulators and the scientific community will see.
- Best for
- Sponsors approaching a readout, a regulatory discussion or a partnering decision
- You receive
- A medical-review plan, review-listing specifications and an issue log ranked by clinical consequence; A written interpretation memorandum covering efficacy, safety, exposure and dose findings, with their limitations
- Stages
- Phase 1–2 to Post-approval
- Formats
- Review plan, data-cut project or ongoing support
Read the full service → Data, AI & CapabilityCRF design & clinical data collection
Clinical input that turns the protocol into data collection a reviewer can actually use.
- Best for
- Sponsor clinical teams, data managers and CROs
- You receive
- Annotated clinical comments on CRFs and completion guidance; A protocol-to-data traceability review
- Stages
- Pre-IND / FIH to Pivotal
- Formats
- Clinical CRF review, design workshop or remediation
Read the full service → Data, AI & CapabilityClinical document & safety-narrative workflows
Process design and medical-consistency review for safety narratives and clinical reports, so that every statement can be traced to its source.
- Best for
- Medical-writing, clinical and safety teams
- You receive
- A document workflow and source-mapping specification; A medical-consistency and review checklist
- Stages
- Pivotal to Registration
- Formats
- Workflow advisory, consistency review or scoped pilot
Read the full service → Data, AI & CapabilityLife-science AI workflow advisory
Domain-informed design of AI-assisted workflows, starting with the task, the evidence and the people accountable for the result.
- Best for
- Biotech teams, specialist consultancies and research-technology groups
- You receive
- A current-state workflow and opportunity map; A prioritized AI use-case assessment
- Stages
- All stages
- Formats
- Bounded advisory sprint
Read the full service → Data, AI & CapabilityClinical AI evaluation & assurance advisory
Evaluation of clinical usefulness and failure modes against a defined task, rather than a broad claim of accuracy.
- Best for
- Clinical teams assessing AI-enabled tools, and developers seeking clinical evaluation
- You receive
- A context-of-use and evaluation specification; A clinical test-case and reference-review framework
- Stages
- All stages
- Formats
- Scoped assessment or collaborative evaluation
Read the full service → Data, AI & CapabilityClinical team simulations & capability building
Case-based training in oncology medical review and clinical judgment, built on original synthetic patient scenarios.
- Best for
- Sponsors and CROs onboarding or calibrating clinical reviewers
- You receive
- A facilitated workshop with original synthetic cases; Structured exercises and discussion guides
- Stages
- Phase 1–2 to Pivotal
- Formats
- Workshop, onboarding module or simulation series
Read the full service →