Molecular diagnostics & translational science

Measure what matters
in biology.

Cedarwell Biosciences develops molecular diagnostic and biomarker programs designed to help research and clinical teams make more informed decisions. Our work spans assay development, translational science, data interpretation, and collaborative validation.

Explore our science About Cedarwell
TRANSLATIONAL PLATFORMRALEIGH / NC
INPUTS / BIOLOGY
01Patient samples
02Molecular assays
03Clinical context
04Reference data
05Quality controls
MOLECULAR EVIDENCE PLATFORMCEDARWELLBIOSCIENCES
OUTPUTS / EVIDENCE
SignalMeasured
BiomarkersEvaluated
EvidenceReviewed
ModelsInterpreted
TranslationApplied
ASSAY / CONTROLLEDDATA / TRACEABLEEVIDENCE / REVIEWED

From specimen to signal to evidence, each step is designed around the question that needs to be answered.

Molecular diagnosticsBiomarkersTranslational scienceData sciencesCollaborative research

Evidence development

Discover. Develop.
Validate. Translate.

Cedarwell combines laboratory workflows, quantitative analysis, and biological context to develop evidence that can stand up to technical and scientific review.

01

DISCOVER

Find reproducible molecular signals

  • Cohort design
  • Molecular profiling
  • Feature discovery
  • Biological context
  • Replication
  • Prioritization
02

DEVELOP

Build fit-for-purpose measurements

  • Assay architecture
  • Reference materials
  • Controls
  • Analytical range
  • Workflow design
  • Documentation
03

VALIDATE

Test performance against the question

  • Precision
  • Reproducibility
  • Sensitivity
  • Specificity
  • Robustness
  • Independent review
04

TRANSLATE

Connect evidence to practical use

  • Clinical context
  • Study endpoints
  • Decision framework
  • Data transfer
  • Collaboration
  • Lifecycle review

Scientific capabilities

One evidence chain.
Multiple disciplines.

Our teams work across laboratory science, data analysis, and translational research to address questions that require more than a single assay or dataset.

01

Molecular Diagnostics

Assay development and analytical workflows built around defined clinical and research questions.

  • Assay design
  • Controls
  • Performance
  • Interpretation
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02

Biomarker Discovery

Discovery and evaluation of molecular features associated with disease biology, response, and stratification.

  • Cohorts
  • Signals
  • Replication
  • Context
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03

Translational Science

Connecting preclinical and clinical observations through integrated molecular and biological evidence.

  • Mechanism
  • Samples
  • Evidence
  • Translation
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04

Clinical Research

Study support for specimen strategy, molecular endpoints, analytical plans, and evidence generation.

  • Protocol
  • Specimens
  • Endpoints
  • Review
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05

Data Sciences

Reproducible processing, statistical analysis, and interpretation of multi-dimensional molecular data.

  • QC
  • Models
  • Statistics
  • Provenance
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06

Partnerships

Collaborative programs with healthcare, academic, and biopharmaceutical organizations.

  • Scope
  • Governance
  • Execution
  • Transfer
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Where we focus

Scientific depth,
connected across teams.

Programs are structured around the biological question, the quality of the measurement, and the evidence needed to move a finding forward.

01

Molecular diagnostics

Developing and evaluating assays around clearly defined clinical and research questions.

  • Assay design
  • Analytical validation
  • Workflow
  • Interpretation
02

Biomarker programs

Finding and testing molecular features that may improve stratification, response assessment, or biological understanding.

  • Discovery
  • Replication
  • Cohorts
  • Evidence
03

Translational research

Connecting molecular observations with disease biology, treatment context, and longitudinal clinical evidence.

  • Mechanism
  • Samples
  • Endpoints
  • Integration
04

Collaborative studies

Working with healthcare, academic, and biopharmaceutical teams on focused evidence-generation programs.

  • Study design
  • Molecular endpoints
  • Analysis
  • Transfer
Raleigh, North CarolinaFounded 2016Private companyCollaborative research model

How we work

Question first. Evidence throughout.

01

Frame

Start with the biological or clinical question and define the decision the work needs to support.

02

Design

Select specimens, assays, controls, endpoints, and analytical methods appropriate to the question.

03

Measure

Generate molecular data using controlled workflows with attention to quality, repeatability, and provenance.

04

Validate

Test analytical performance and biological relevance against predefined criteria and independent evidence.

05

Translate

Convert validated findings into practical research, diagnostic, or development workflows with collaborators.

Evidence architecture

From specimen to interpretable signal.

Cedarwell connects laboratory measurement, data science, and translational review so findings can be evaluated in context rather than as isolated molecular observations.

01SpecimenCollection / handling / provenance
02AssayMeasurement / controls / repeatability
03SignalProcessing / normalization / features
04EvidenceStatistics / context / validation
05TranslationResearch / clinical / development use
ACROSS PROGRAMSCEDARWELLTRANSLATIONAL PLATFORMEVIDENCE / TRACEABLE

Information security

Research depends on trusted data.

Cedarwell uses controlled access, defined administrative responsibilities, and documented handling practices for company and research information.

DATA & ACCESS CONTROLACTIVE
01Least privilege
02Role-based access
03Multi-factor authentication
04Controlled research data
05Auditable administrative activity
06Documented change procedures
07Segregated environments
08Incident escalation
DATA / RESPONSIBILITY

Access by role.
Evidence with provenance.

Company systems separate public information, research collaboration, and administrative functions while maintaining clear ownership of privileged activity.

Authorized systems

Restricted systems are intended only for authorized Cedarwell Biosciences personnel and approved collaborators.

Review security principles →

Scientific standard

Useful evidence starts
with disciplined measurement.

Technology matters, but so do specimen quality, controls, reproducibility, context, and the ability to explain how a result was produced.

Program inputs

Biological question

Specimen strategy

Assay design

Clinical context

Reference data

Predefined endpoints

Evidence controls

Traceable samples

Documented methods

Defined quality criteria

Reproducible analysis

Independent review

Versioned outputs

Collaborate with Cedarwell

Start with the question.

We work with research institutions, healthcare organizations, and biopharmaceutical teams on focused molecular and translational programs.

Contact our team How we collaborate
CEDARWELL BIOSCIENCES / RALEIGH, NC MOLECULAR EVIDENCE