> For the complete documentation index, see [llms.txt](https://docs.owkin.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.owkin.com/what-you-can-do-with-k-pro/prompting-guide-and-prompt-library-1-1.md). # Case studies library ### Case study 1: Multimodal target & population characterization for asset positioning The brief was to characterize two candidate targets for an IO asset in a solid-tumor indication: expression profile, intra-tumoral heterogeneity, spatial behavior in the tumor microenvironment, and outcome signal in the IO-treated subgroup. The data substrate was Owkin's MOSAIC cohort for the indication, covering 490 real-world patients across five treatment cohorts, with 208 patients having all four modalities (bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, clinical follow-up). The deliverable integrated all four modalities in a single report. Cross-modality concordance gave the client more confidence than any single modality could provide. Intra-tumoral heterogeneity and spatial autocorrelation surfaced patterns that bulk-only platforms cannot produce. The skills underlying this analysis (cohort building, multimodal target characterization, spatial TME analysis, and outcome association) are the same skills K Pro orchestrates as composable workflows today. *** ### Case study 2: Drug to clinically actionable patient subgroups The brief was to identify the patient subgroup most likely to respond to an immune checkpoint asset (an inhibitory NK-receptor antagonist combined with an anti-PD1) across two solid-tumor indications, and to distill the answer into clinically implementable selection rules a clinician could apply at trial screening. *Approach.* A drug-relevant feature set spanning the target axis, checkpoints, NK and T cell signatures, and the broader microenvironment was scored per patient. Consensus clustering yielded three subgroups along a gradient of drug-enabling context (cold, warm, hot). Cluster labels transferred to two independent private cohorts at Jaccard 0.87 and Cohen Kappa 0.87 (n=278 on the larger cohort). The subgroups were distilled into a three-gene transcriptomic signature and a histomics decision tree (PDL1 status, lymphocyte density, cancer-cell density, TLS) reaching sensitivity 0.80 and specificity 0.74 on H\&E. Trial simulation estimated approximately 30% reduction in recruitment needed for an equivalent-powered Phase III in the larger indication. The client is now validating these biomarkers prospectively in Phase II. K Pro's drug-positioning skill suite covers this exact five-step workflow: cohort building, drug-context feature engineering, patient clustering, cluster characterization, and biomarker distillation across transcriptomics, histomics, and clinical modalities. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.owkin.com/what-you-can-do-with-k-pro/prompting-guide-and-prompt-library-1-1.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.