Challenges today
Addressing Key Challenges in Drug Development
Biopharma teams manage complex tissue data, diverse study requirements, and demanding research timelines. Digital pathology can help standardize analysis, organize study data, and connect teams across the development process.
Managing Complex Tissue Data
Organize large volumes of tissue images and study data across preclinical and clinical development workflows.
Ensuring Reproducible Analysis
Standardize tissue assessment and quantitative analysis to support consistent and reproducible research outcomes.
Uniting Research Teams
Enable secure collaboration between researchers, pathologists, and development teams across studies and locations.
Integrated Solutions for Drug Discovery & Development
Biomarker Analysis
Quantitative Biomarker Assessment
Analyze tissue-based biomarkers using digital image analysis and quantitative pathology workflows.
Consistent Evaluation
Apply standardized approaches to support reproducible biomarker assessment across studies and samples.
Research-Ready Insights
Generate measurable pathology insights to support research decisions and study interpretation.
Companion Diagnostics
Biomarker Evaluation
Support tissue-based biomarker evaluation for research and companion diagnostic development workflows.
Patient Stratification
Help researchers evaluate biomarker patterns that may support patient selection strategies.
Clinical Development Support
Connect pathology insights with clinical development workflows to support targeted therapeutic research.
Toxicology Studies
Tissue Assessment
Digitally review tissue samples to support pathology assessment across toxicology studies.
Lesion Identification
Use digital image analysis to support identification and evaluation of relevant tissue findings.
Study Documentation
Organize pathology images and observations for efficient review and study documentation.
Histopathology Research
Digital Tissue Review
Review high-resolution tissue images through an accessible digital pathology environment.
Structured Annotations
Annotate and organize regions of interest to support consistent research analysis.
Collaborative Evaluation
Enable researchers and pathologists to review tissue findings together across study teams.
AI-Assisted Quantification
Automated Image Analysis
Apply AI-assisted image analysis to support efficient evaluation of tissue and cellular features.
Quantitative Measurements
Support cell counting, biomarker scoring, and other measurable pathology assessments.
Reproducible Analysis
Use consistent computational workflows to support repeatable and scalable tissue analysis.
Preclinical Studies
Study Workflow Support
Manage digital pathology workflows across preclinical research and tissue assessment activities.
Cross-Study Analysis
Organize and compare pathology data across samples, groups, and research studies.
Research Collaboration
Connect pathologists, researchers, and study teams through secure digital collaboration.
Clinical Trial Pathology Workflows
Centralized Pathology Review
Support centralized review of digital pathology cases across clinical trial sites and teams.
Standardized Assessment
Promote consistent pathology review and documentation across distributed study workflows.
Secure Study Collaboration
Enable controlled access and collaboration between pathology, research, and clinical teams.
