Services
Biomedical CRO
Immune Cell & Tissue Products
- Immune cells and tissues from validated disease models: arthritis, lupus, diabetes,
gout, hepatitis, IBD, DTH, multiple sclerosis, nephritis, pancreatitis, pulmonary
fibrosis, LPS stimulation, and immuno-oncology cancer models
Functional Assay Services
- Cell Viability & Proliferation: MTT, LDH, BrdU/dU, Ki-67, Annexin
V/PI, Caspase assays, IC₅₀ determination
- Immune Function & Cytotoxicity: CTL/NK killing, ADCC, ADCP, CFSE
proliferation, MLR, ELISPOT, intracellular cytokine staining, ELISA, Luminex
- Checkpoint & Antigen Presentation: PD-L1 and MHC I/II flow
cytometry, NF-κB/STAT/IFN-β reporter assays
- Cell Therapy & Antibody Testing: CAR-T, TCR-T, TCE, and ADC
functional and safety assays
- Immune Stimulation: PBMC, whole blood, splenocyte, and macrophage
stimulation, LPS, TLR agonist assays
- Molecular & Protein Analysis: qPCR, RNA-seq, ELISA, Luminex,
Western blot, multiparametric flow cytometry
Histology & Imaging
- Tissue and plasma collection
- IHC (immunohistochemistry)
- Histology services
- In vivo/ex vivo imaging
- Cell counts and clinical chemistry
Data Analysis & Optimization
- Organoid and animal model data analysis
- AI-driven assay optimization and readout interpretation
AI / ML
Imaging & Digital Pathology
- Automated MRI, CT, and PET image analysis
- Quantitative histopathology and immunohistochemistry (IHC)
- Organoid and cellular imaging enhancement using AI
- Computer vision for microscopy
Multi-Omics Data Integration
- Genomic, transcriptomic, proteomic, and metabolomic profiling
- Biomarker discovery and disease subtype classification
- Network modeling and systems biology analytics
- Deep learning model development for omics data
Drug Development Support
- AI-assisted small molecule design and virtual screening
- Drug–target interaction prediction and drug repurposing
- ADMET modeling (absorption, distribution, metabolism, excretion, toxicity)
- Predictive modeling for drug response
Clinical & Real-World Data Analysis
- Processing, subgroup stratification, and integration of clinical trial and
real-world data (RWD)
- Survival analysis and machine learning–based prediction for patient classification
and outcome forecasting
Statistical Analysis
- Regulatory-compliant analyses in SAS and R aligned with industry and regulatory
standards
- Descriptive statistics (n, mean, SD, % difference)
- Parametric tests: ANOVA with Dunnett's post hoc analysis
- Nonparametric tests: Kruskal–Wallis with DSCF multiple comparisons
- Assumption testing: Shapiro–Wilk normality and Levene's variance equality
- Biostatistical consulting: Expert guidance from study design through data
interpretation
Machine Learning & Analytics
- Supervised and unsupervised learning
- Model validation and performance optimization
- AI-driven classification and outcome prediction for translational and clinical
studies
Agentic AI
- Agentic AI pipelines for automated data processing and analysis
- Custom-RAG (Retrieval-Augmented Generation) for customized LLM responses with
expertise in specific biological topics
Data Infrastructure & Tools
- Database design and implementation for research data management
- Data integration and harmonization across multiple platforms
- Natural language processing for literature mining and knowledge extraction
- Time series analysis for longitudinal studies
- Cloud computing and scalable data processing
- Real-time data streaming and monitoring systems