Scope, evidence, team and responsibilities are confirmed for each project. No capability guarantees an outcome.
microscopIA · How we collaborate
How we collaborate
We connect clinical or institutional expertise with substantive scientific contributions from microscopIA. Agree the team, responsibilities and deliverables before execution.
Choose an area to see practical examples and the right inquiry route.
Define the need
Share your question, project stage and the decision you need to inform.
Agree the deliverables
Methods, team, timeline, budget and responsibilities are defined together.
Review before starting
Work begins with an approved scope, data agreements and required permissions.
12 capabilities found
01
Research and Epidemiology
Have a clinical question or a dataset? We help choose the right study design, define the population and outcomes, and address bias before drawing conclusions.
Problems addressed and examples
Problems addressed
Study design
Cohort definition
Bias and confounding
Outcomes and real-world evidence
Typical examples
Multicenter cohorts
Health-services research
Clinical outcomes
02
Data Science and Statistics
Make sense of clinical or operational data: define the analysis, compare groups, account for important differences and quantify uncertainty.
Problems addressed and examples
Problems addressed
Analysis plans
Predictive modeling
Uncertainty
Reproducibility
Typical examples
Regression
Validation studies
Sensitivity analysis
03
Artificial Intelligence
Develop or evaluate AI through data, model, validation, clinical, economic and implementation stages as appropriate.
Problems addressed and examples
Problems addressed
Data readiness
Model validation
Clinical integration
Monitoring
Typical examples
Computer vision
Decision support
External validation
04
Biomedical Engineering and Devices
Translate healthcare needs into specifications, prototypes, evaluation and responsible evidence.
Problems addressed and examples
Problems addressed
Technical requirements
Usability
Clinical evaluation
Regulatory planning
Typical examples
Imaging devices
Screening systems
Clinical technologies
05
Health Economics
Compare the costs and health outcomes of treatments or services. If your team has outcome and resource-use data, we can assess which option offers better value, what it would cost to implement and how uncertain the decision remains.
Problems addressed and examples
Problems addressed
Cost-effectiveness
Budget impact
Net monetary benefit
Uncertainty
Typical examples
Cost-utility
Probabilistic sensitivity analysis
Value assessment
06
Geospatial and Access Analysis
Measure geographic access, travel time, service coverage and health-system gaps.
Problems addressed and examples
Problems addressed
Travel-time access
Service distribution
Population coverage
No-data zones
Typical examples
ROP access
ICU access
Workforce mapping
07
Evidence Synthesis
Answer focused questions through transparent review, meta-analysis and consensus methods.
Problems addressed and examples
Problems addressed
Fragmented evidence
Comparative effectiveness
Consensus
Knowledge gaps
Typical examples
Systematic review
Meta-analysis
Scoping review
Delphi
08
Clinical Studies and Trials
Turn a clinical question into a protocol with clear eligibility, outcomes and analysis. We define the scientific support you need; trial sponsorship, clinical delivery and regulatory responsibilities require separate agreements.
Problems addressed and examples
Problems addressed
Protocol methods
Endpoints
Analysis
Evidence planning
Typical examples
Observational studies
Prospective protocols
Trial-method support
09
Policy and Decision Intelligence
Combine epidemiology, synthesis, economics, geospatial modeling and implementation evaluation into decision-ready evidence.
Problems addressed and examples
Problems addressed
Policy questions
Scenario analysis
Evidence briefs
System planning
Typical examples
Access planning
Economic scenarios
Implementation evidence
10
Real-World Implementation
Move from intervention and metrics to deployment, evaluation, value assessment and scale decisions.
Problems addressed and examples
Problems addressed
Implementation design
Metrics
Deployment
Scale
Typical examples
Screening pathways
Telemedicine
Health-system interventions
11
Scientific Publication
Develop an accountable publication pathway as a scientific team—not a writing vendor, ghostwriter or authorship marketplace.
Problems addressed and examples
Problems addressed
Manuscript strategy
Journal fit
Peer review
Submission management
Typical examples
Original research
Reviews
Case reports
12
Institutional Research Infrastructure
Extend research, innovation and evidence capacity through a defined external partnership.
Problems addressed and examples
Problems addressed
Capability gaps
Portfolio governance
Specialist access
Program delivery
Typical examples
Satellite partnerships
Research portfolios
Strategic innovation
YOUR NEXT STEP
What would you like to achieve?
An assigned team contributes the agreed methods, analysis, evidence appraisal, engineering or evaluation, with supervision and documented quality checks. How we collaborate →
Turn a dataset into a defensible answer.
Combine study design, analysis and publication support. We agree the analysis plan, reproducible outputs and your team’s review responsibilities.
Bring to the conversation
Clinical question, your expertise, available evidence, time to supervise and employer permissions where needed.
Describe what you need to decide and what evidence, data or technology is already available.
Define the scope
Combine clinical methods, analysis, engineering and health economics around a defined deliverable. The proposal specifies the team, resources and review process.