// KEY BENEFITS
Why Researchers Choose ImYoo
ImYoo is a decentralized vertical platform that makes collecting and analyzing
patient data easy. Here are the key benefits for researchers and discovery scientists.
One Person, Across Time
Patients' healthy state is measured against themselves, not against the "average", enabling more precise, personalized insights for individual baselining.
Capturing New Data
Patients sampling during immune events can reveal novel biological mechanisms that would otherwise be missed in traditional clinical settings.
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Patient Diversity
Equipping people to take their sample on their own time and on their turf , enabling broader, more representative participation across demographics and geographies.
// DISCOVERY PLATFORM
A Discovery Platform with
Patients at the Center
Data provided by patient scientists and analyzed by ImYoo is
powerful. It can be used to drive new discoveries in a range of
applications.
To meet the varied needs of our partners, there are two main routes to work with us, tap into our rich database or design a bespoke study leveraging our patient scientist network.
// HOW TO WORK WITH US
Two Routes to Partner with ImYoo
ImYoo is a decentralized vertical platform that makes collecting and analyzing patient data easy. Here are the key benefits for researchers and discovery scientists.
// PUBLICATIONS AND DATASETS
Longitudinal capillary blood produces
Rich insights into immune dynamics
Gupta, R., Marquez-Grap, G., Spangenberg, A., Kemeness, C., Schandua, H., Baldonado, G. C., Kranyak, A., Leung, A., Lin, I.-C., Dobreva, T., Brown, D., Kaur, J., Dhaliwal, N., & Liao, W. (2026). At-Home Exposome Monitoring of Atopic Dermatitis and Psoriasis Using the SkinTracker Digital Platform: Longitudinal Observational Study (Preprint). JMIR Publications Inc. https://doi.org/10.2196/preprints.110534
Kassab, M., Maniero, L., & da Veiga Beltrame, E. (2026). A hyperparameter benchmark of VAE-based methods for scRNA-seq batch integration. openRxiv. https://doi.org/10.64898/2026.02.10.705093
Brown, D., Falor, T., Romanuk, T., Harari, E., Park, J. H., & Dobreva, T. (2024). Longitudinal single-cell RNA sequencing of 55,260 capillary PBMCs from 2 donors with ME/CFS before, during, and after antibiotic treatment (Version 1.0) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.11100300
Svensson, V. (2023). Tutorial - Label transfer with scVI and scHPL. www.nxn.se; nxn. https://www.nxn.se/p/label-transfer-with-scvi-and-schpl
David Brown, Eduardo da Veiga Beltrame, Jong Hwee Park, Vincent Steffens, Tatyana Dobreva, & McGinnis, C. (2023). Single-cell RNA sequencing of 76,535 capillary PBMCs from 3 donors across 28 samples, freshly isolated or on ice for 24h with manual 4-layer annotation hierarchy (Version 1.0) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.8020792
Dobreva, T., Brown, D., Park, J. H., & Thomson, M. (2020). Single cell profiling of capillary blood enables out of clinic human immunity studies. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-77073-3