Clinical research
Trial feasibility & site analytics
Assess potential recruitment pools and site readiness using approved study information.
Oncology
Oncology Clinical Trial Analytics & Research Support Company
Aditya BioNova Analytics supports oncology clinical research through trial coordination support, clinical data management support, enrollment tracking and scientific analytics.
Oncology
Bring operational clarity and scientific context to your study.
We scope data, statistical and molecular research support with CROs, investigators and hospital research teams.
Oncology
Connected insight. Across your oncology study.
From feasibility and follow-up to biomarkers and statistical reporting, choose support around your study's actual needs.
01
Plan & track
Site feasibility, enrollment and biospecimen visibility.
02
Review & resolve
Clinical data checks, safety summaries and query review.
03
Analyze & explain
Survival endpoints, molecular associations and patient-reported outcomes.
04
Program & report
Agreed analysis datasets, tables, listings and figures.
Analyze & explainIllustrative
Oncology & survival analysis
Translate follow-up data into an interpretable time-to-event analysis.
Group AGroup BCensored
Plan & trackIllustrative
Trial operations dashboards
Give study teams a clear view of enrollment and follow-up activity.
Cumulative enrollmentPlan
Study-focused support
From feasibility to research reporting.
Choose a focused pilot or a defined package of support. Staffing, deliverables and review responsibilities are agreed before work starts.
Clinical research
Biospecimen tracking & reconciliation
Keep sample collection, shipment, receipt and testing milestones connected.
Clinical research
Safety-data summaries
Organize approved adverse-event records into review-ready summaries.
Clinical research
Patient-reported outcomes & quality of life
Explore patient experience across treatment and follow-up time points.
Clinical research
Statistical programming & CDISC support
Prepare traceable datasets, tables, listings and figures for an agreed study scope.
Omics
Multi-omics integration
Bring molecular layers together around a shared research question.
Clinical research
Oncology & survival analysis
Translate follow-up data into an interpretable time-to-event analysis.
Clinical research
Clinical trial biostatistics
Define the statistical question before choosing the model.
Clinical research
Clinical data quality
Find missing values, inconsistent records and unresolved data questions.
Clinical research
Trial operations dashboards
Give study teams a clear view of enrollment and follow-up activity.
Clinical research
Biomarker research
Evaluate candidate markers with transparent validation and limitations.
Bioinformatics
Connecting biology, computation and evidence.
Bioinformaticians bring biological context to complex datasets and help research teams turn analytical results into clearly explained, testable scientific questions.
01
Make data usable
Assess sequencing and molecular data quality, document limitations and prepare consistent inputs for analysis.
02
Connect molecular signals
Explore genes, proteins and pathways alongside study metadata to investigate biological patterns and candidate biomarkers.
03
Build reproducible analyses
Develop documented workflows, statistical analyses and machine-learning evaluations that colleagues can review and repeat.
04
Support multidisciplinary teams
Work with laboratory scientists, statisticians and clinical researchers to explain findings, uncertainty and appropriate next research steps.
Three ways to start
Start with one clearly defined question.
Trial operations support
Enrollment, follow-up, biospecimen status and query summaries for an agreed study scope.
Clinical data review
Reproducible data checks, discrepancy reports and scheduled review of agreed data exports.
Oncology research analytics
A prespecified survival, biomarker or patient-outcomes question with documented methods and results.
- Scientific analyses depend on approved data, appropriate methods and qualified review.
- Investigators and medical teams retain eligibility, treatment and safety decisions.
- Regulatory deliverables require separately agreed qualification and validation.
Start a project
Let's discuss your next research project.
Tell us the study phase, cancer type, data available, required deliverables and timeline.
- Define the question — objective, study design, data requirements and scope.
- Review the data — quality, permissions, missing values and potential sources of bias.
- Explain & deliver — interpretable figures, reports and agreed reproducible materials.
Do not send identifiable patient data through the website.