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