AI & Data Strategy Consulting for Tissue Immunity
Turning complex immunological data into meaningful insight
At ImmSilico, we help you unlock the full potential of high-dimensional, multi-modal immunological data through strategic applications of AI, machine learning, and advanced analytics. Whether you’re working with scRNA-seq, spatial data, TCR/BCR repertoires, or CyTOF, we help you develop scalable, interpretable pipelines that address your biological questions—rigorously and efficiently.
We help bridge the gap between immunology, advanced data science, and emerging experimental technologies—bringing targeted expertise to support your research in tissue immunity.
Specific Services We Offer
• Data Strategy Development
• Evaluate datasets and experimental design to define optimal analysis strategies
• Recommend approaches for multi-modal integration (e.g., scRNA-seq + VDJ + spatial)
• Plan for metadata standards, batch correction, and downstream testing
• AI/ML Method Selection & Validation
• TCR/BCR clustering, specificity prediction, and public clone tracking
• Cell state classification and spatial niche annotation (e.g., STAGATE, CellCharter)
• Deep learning/graph-based methods for immune dynamics
• Custom Workflow Design
• Antigen-specific T cell identification from multi-modal data
• Pseudotime inference for epithelial regeneration/inflammation
• Cross-species label transfer (e.g., mouse to human in colitis models)
• Public Data Integration & Benchmarking
• Curate external datasets to complement your work
• Benchmark model performance using known resources (e.g., ImmGen, Human Cell Atlas)
• Advanced Visualisation & Interpretation
• Create UMAPs, Sankey, violin, and Circos plots for publication
• Interpret spatial and subclonal tissue architecture
• Support scientific storytelling around AI findings
Use Case and Track Record
• Developed predictive TCR clustering to infer antigen specificity in tumour-reactive CD8+ T cells
• Designed multi-modal AI analysis of CPI-bound vs CPI-free T cell niches using CosMx & CITE-seq
• Implemented spatial niche identification to map regeneration zones in colonic crypts from IBD tissue
Mark Your Data Intelligible — Before Making it Actionable
We help you design the right AI and analytical strategies to navigate the complexity of immunological data—its high dimensionality, sparsity, noise, and entangled technical and biological variation.
Our consulting ensures you ask the right questions, choose the right tools, and build the right team—so your data reveals insight, not confusion.
Contact Us: contact@immsilico.com